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484f186
Update bitaxe_hashrate_benchmark.py
Co1nB3e Jun 17, 2025
f7d6d6d
Update bitaxe_hashrate_benchmark.py
Co1nB3e Jun 18, 2025
ea3a2b3
Update bitaxe_hashrate_benchmark.py
Co1nB3e Jun 18, 2025
32cdcae
feat(benchmark): Enhance data collection with power and fan speed; Re…
zorgoros Jul 8, 2025
99f8323
feat(cli): Add option to apply specific settings without benchmarking
zorgoros Jul 8, 2025
6b60b33
refactor(cli): Improve command-line help output
zorgoros Jul 8, 2025
6d19eb6
add new readme based on latest changes
zorgoros Jul 8, 2025
36c4fc1
add new readme based on latest changes
zorgoros Jul 9, 2025
44b2992
add new readme based on latest changes
zorgoros Jul 9, 2025
0604fac
add new readme based on latest changes
zorgoros Jul 9, 2025
7d4da38
fix(docs): Correct README argument inline code formatting
zorgoros Jul 10, 2025
9033a22
fix(docs): Correct README argument inline code formatting
zorgoros Jul 10, 2025
77a3cda
refining readme
zorgoros Jul 10, 2025
2edbeb4
refining readme
zorgoros Jul 11, 2025
fd3d302
refining readme
zorgoros Jul 11, 2025
394cf79
Add stdev and running stdev
pwschattenberg Aug 13, 2025
a500e86
Fix formatting so width remains more constant
pwschattenberg Aug 13, 2025
faff91c
Merge pull request #3 from mrv777/Bitaxe-Hashrate-Benchmark
cerebrux Dec 30, 2025
4fec6c8
Merge pull request #5 from mrv777/Bitaxe-Hashrate-Benchmark
cerebrux Dec 30, 2025
e95a22a
Merge pull request #8 from mrv777/Bitaxe-Hashrate-Benchmark
cerebrux Dec 30, 2025
75fbff2
Fix potential negative variance in running_stddev calculation
cerebrux Dec 30, 2025
7c8700d
Enhance safety: Monitor stabilization period and warn about max settings
cerebrux Dec 30, 2025
49d7b21
Fix potential frequency underflow when adjusting settings
cerebrux Dec 30, 2025
cfdaa1a
Prevent voltage increase after overheat at initial frequency
cerebrux Dec 30, 2025
80f6153
Add max-temp argument to command line options and update configuration
cerebrux Dec 30, 2025
eda6922
Add VR temperature check during stabilization to enhance safety
cerebrux Dec 30, 2025
b07d06e
Remove redundant restart_system calls in exception handling
cerebrux Dec 31, 2025
e280cbe
enforce args for set-values, validate IP, check return values, and cl…
cerebrux Dec 31, 2025
af906ff
removing unnecessary bold styling for features and output descriptions
cerebrux Dec 31, 2025
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267 changes: 150 additions & 117 deletions README.md
Original file line number Diff line number Diff line change
@@ -1,167 +1,200 @@
# Bitaxe Hashrate Benchmark
# **Bitaxe Hashrate Benchmark**

A Python-based benchmarking tool for optimizing Bitaxe mining performance by testing different voltage and frequency combinations while monitoring hashrate, temperature, and power efficiency.

## Features
## **Features**

- Automated benchmarking of different voltage/frequency combinations
- Temperature monitoring and safety cutoffs
- Power efficiency calculations (J/TH)
- Automatic saving of benchmark results
- Graceful shutdown with best settings retention
- Docker support for easy deployment
* Automated benchmarking of different voltage/frequency combinations
* Direct setting of specific voltage and frequency from command line
* Temperature monitoring and safety cutoffs
* Power consumption monitoring and reporting (Watts)
* Fan speed monitoring and reporting (Percentage)
* Power efficiency calculations (J/TH)
* Automatic saving of benchmark results
* Graceful shutdown with best settings retention
* Docker support for easy deployment

## Prerequisites
## **Prerequisites**

- Python 3.11 or higher
- Access to a Bitaxe miner on your network
- Docker (optional, for containerized deployment)
- Git (optional, for cloning the repository)
* Python 3.11 or higher
* Access to a Bitaxe miner on your network
* Docker (optional, for containerized deployment)
* Git (optional, for cloning the repository)

## Installation
## **Installation**

### Standard Installation
### **Standard Installation**

1. Clone the repository:
```bash
git clone https://github.com/mrv777/Bitaxe-Hashrate-Benchmark.git
cd Bitaxe-Hashrate-Benchmark
```
1. Clone the repository:
```bash
git clone https://github.com/mrv777/Bitaxe-Hashrate-Benchmark.git
cd Bitaxe-Hashrate-Benchmark
```

2. Create and activate a virtual environment:
```bash
python -m venv venv
# On Windows
venv\Scripts\activate
# On Linux/Mac
source venv/bin/activate
```
2. Create and activate a virtual environment:
```bash
python -m venv venv
# On Windows
venv\Scripts\activate
# On Linux/Mac
source venv/bin/activate
```

3. Install dependencies:
```bash
pip install -r requirements.txt
```
3. Install dependencies:
```bash
pip install -r requirements.txt
```

### **Docker Installation**

1. Build the Docker image:
`docker build -t bitaxe-benchmark .`

### Docker Installation
## **Usage**

1. Build the Docker image:
### **Standard Usage (Run Full Benchmark)**

Run the benchmark tool by providing your Bitaxe's IP address and initial settings:
```bash
docker build -t bitaxe-benchmark .
python bitaxe_hashrate_benchmark.py <bitaxe_ip> -v <initial_voltage> -f <initial_frequency>
```

## Usage

### Standard Usage
**Arguments:**

Run the benchmark tool by providing your Bitaxe's IP address:
* `<bitaxe_ip>`: **Required.** IP address of your Bitaxe miner (e.g., `192.168.2.26`).
* `-v, --voltage:` **Optional.** Initial voltage in mV for testing (default: `1150`).
* `-f, --frequency:` **Optional.** Initial frequency in MHz for testing (default: `500`).

**Example:**
```bash
python bitaxe_hashrate_benchmark.py <bitaxe_ip>
python bitaxe_hashrate_benchmark.py 192.168.1.136 -v 1150 -f 550
```

Optional parameters:
- `-v, --voltage`: Initial voltage in mV (default: 1150)
- `-f, --frequency`: Initial frequency in MHz (default: 500)
### **Apply Specific Settings (Without Benchmarking)**

Example:
To quickly apply specific voltage and frequency settings to your Bitaxe without running the full benchmark:
```bash
python bitaxe_hashrate_benchmark.py 192.168.2.29 -v 1175 -f 775
python bitaxe_hashrate_benchmark.py <bitaxe_ip> --set-values -v <desired_voltage_mv> -f <desired_frequency_mhz>
```

### Docker Usage (Optional)
**Arguments:**

Run the container with your Bitaxe's IP address:
* `<bitaxe_ip>`: **Required.** IP address of your Bitaxe miner.
* `-s, --set-values`: **Flag.** Activates this mode to only set values and exit.
* `-v, --voltage`: **Required.** The exact voltage in mV to apply.
* `-f, --frequency`: **Required.** The exact frequency in MHz to apply.

**Example:**
```bash
python bitaxe_hashrate_benchmark.py 192.168.1.136 --set-values -v 1150 -f 780
```

### **Docker Usage (Optional)**

Run the container with your Bitaxe's IP address (add --set-values for that mode):
```bash
docker run --rm bitaxe-benchmark <bitaxe_ip> [options]
```

Example:
Example (Full Benchmark):
```bash
docker run --rm bitaxe-benchmark 192.168.2.26 -v 1200 -f 550
```

## Configuration

The script includes several configurable parameters:

- Maximum chip temperature: 66°C
- Maximum VR temperature: 86°C
- Maximum allowed voltage: 1400mV
- Minimum allowed voltage: 1000mV
- Maximum allowed frequency: 1200MHz
- Maximum power consumption: 40W
- Minimum allowed frequency: 400MHz
- Minimum input voltage: 4800mV
- Maximum input voltage: 5500mV
- Benchmark duration: 10 minutes
- Sample interval: 15 seconds
- Sleep time before benchmark: 90 seconds
- **Minimum required samples: 7** (for valid data processing)
- Voltage increment: 20mV
- Frequency increment: 25MHz

## Output

The benchmark results are saved to `bitaxe_benchmark_results_<ip_address>.json`, containing:
- Complete test results for all combinations
- Top 5 performing configurations ranked by hashrate
- Top 5 most efficient configurations ranked by J/TH
- For each configuration:
- Average hashrate (with outlier removal)
- Temperature readings (excluding initial warmup period)
- VR temperature readings (when available)
- Power efficiency metrics (J/TH)
- Input voltage measurements
- Voltage/frequency combinations tested

## Safety Features

- Automatic temperature monitoring with safety cutoff (66°C chip temp)
- Voltage regulator (VR) temperature monitoring with safety cutoff (86°C)
- Input voltage monitoring with minimum threshold (4800mV) and maximum threshold (5500mV)
- Power consumption monitoring with safety cutoff (40W)
- Temperature validation (must be above 5°C)
- Graceful shutdown on interruption (Ctrl+C)
- Automatic reset to best performing settings after benchmarking
- Input validation for safe voltage and frequency ranges
- Hashrate validation to ensure stability
- Protection against invalid system data
- Outlier removal from benchmark results

## Benchmarking Process
Example (Set Settings Only):
```bash
docker run --rm bitaxe-benchmark 192.168.2.26 --set-values -v 1150 -f 780
```

## **Configuration**

The script includes several configurable parameters. These can be adjusted in the bitaxe_hashrate_benchmark.py file:

* Maximum chip temperature: 66°C
* Maximum VR temperature: 86°C
* Maximum allowed voltage: 1400mV
* Minimum allowed voltage: 1000mV
* Maximum allowed frequency: 1200MHz
* Maximum power consumption: 30W
* Minimum allowed frequency: 400MHz
* Minimum input voltage: 4800mV
* Maximum input voltage: 5500mV
* Benchmark duration: 600 seconds (10 minutes per combination)
* Sample interval: 15 seconds
* Sleep time before benchmark: 90 seconds
* Minimum required samples: 7 (for valid data processing)
* Voltage increment: 15mV
* Frequency increment: 20MHz
* ASIC Configuration: asic_count is hardcoded to 1 as it's not always provided by the API. small_core_count is fetched from the Bitaxe.

## **Output**

The benchmark results are saved to bitaxe_benchmark_results_<ip_address>.json, containing:

* Complete test results for all combinations
* Top 5 performing configurations ranked by hashrate
* Top 5 most efficient configurations ranked by J/TH
* For each configuration:
* Average hashrate (with outlier removal)
* Temperature readings (excluding initial warmup period)
* VR temperature readings (when available)
* Power efficiency metrics (J/TH)
* Average Power (Watts)
* Average Fan Speed (Percentage or RPM, if available from API)
* Input voltage measurements
* Voltage/frequency combinations tested
* Error reason (if any) for a specific iteration

## **Safety Features**

* Automatic temperature monitoring with safety cutoff (66°C chip temp)
* Voltage regulator (VR) temperature monitoring with safety cutoff (86°C)
* Input voltage monitoring with minimum threshold (4800mV) and maximum threshold (5500mV)
* Power consumption monitoring with safety cutoff (30W)
* Temperature validation (must be above 5°C)
* Graceful shutdown on interruption (Ctrl+C)
* Automatic reset to best performing settings after benchmarking
* Input validation for safe voltage and frequency ranges
* Hashrate validation to ensure stability
* Protection against invalid system data
* Outlier removal from benchmark results

## **Benchmarking Process**

The tool follows this process:
1. Starts with user-specified or default voltage/frequency
2. Tests each combination for 20 minutes
3. Validates hashrate is within 8% of theoretical maximum
4. Incrementally adjusts settings:
- Increases frequency if stable
- Increases voltage if unstable
- Stops at thermal or stability limits
5. Records and ranks all successful configurations
6. Automatically applies the best performing stable settings
7. Restarts system after each test for stability

1. Starts with user-specified or default voltage/frequency
2. Tests each combination for 10 minutes
3. Validates hashrate is within 6% of theoretical maximum
4. Incrementally adjusts settings:
* Increases frequency if stable
* Increases voltage if unstable
* Stops at thermal or stability limits
5. Records and ranks all successful configurations
6. Automatically applies the best performing stable settings
7. Restarts system after each test for stability
8. Allows 90-second stabilization period between tests

## Data Processing
## **Data Processing**

The tool implements several data processing techniques to ensure accurate results:
- Removes 3 highest and 3 lowest hashrate readings to eliminate outliers
- Excludes first 6 temperature readings during warmup period
- Validates hashrate is within 6% of theoretical maximum
- Averages power consumption across entire test period
- Monitors VR temperature when available
- Calculates efficiency in Joules per Terahash (J/TH)

## Contributing
* Removes 3 highest and 3 lowest hashrate readings to eliminate outliers
* Excludes first 6 temperature readings during warmup period
* Validates hashrate is within 6% of theoretical maximum
* Averages power consumption across entire test period
* Monitors VR temperature when available
* Calculates efficiency in Joules per Terahash (J/TH)
* Averages fan speed across entire test period

## **Contributing**

Contributions are welcome! Please feel free to submit a Pull Request.

## License
## **License**

This project is licensed under the GNU General Public License v3.0 - see the [LICENSE](LICENSE) file for details.

## Disclaimer
## **Disclaimer**

Please use this tool responsibly. Overclocking and voltage modifications can potentially damage your hardware if not done carefully. Always ensure proper cooling and monitor your device during benchmarking.
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