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265 changes: 149 additions & 116 deletions README.md
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# 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 (RPM/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
- **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
* 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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