Benchmark #70

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Submitted 2 months ago by erikas2

Specifications
Label OS GPU CPU RAM OS specific
BORE 5.7.10 CachyOS NVIDIA GeForce RTX 3060 Ti AMD Ryzen 7 5700X 8-Core Processor 17 GB 6.12.2-1B5710 powersave
BORE 5.8.10 CachyOS NVIDIA GeForce RTX 3060 Ti AMD Ryzen 7 5700X 8-Core Processor 17 GB 6.12.2-1B5810 powersave
<think> </think> ### Summary of Key Metrics for Benchmark Title: #### **CPU Metrics** - **CPU Load**: - Mean: ~99.87% (extremely high load) - Median: ~99.88% - StdDev: ~0.0988% (low variance, stable load) - **CPU Temperature**: - Mean: ~49°C (high temperature) - Median: 49°C - StdDev: ~0.2°C (stable temperature) #### **GPU Metrics** - **GPU Load**: - Mean: ~36.15% (moderate load) - Median: 37% - **GPU Temperature**: - Mean: ~35.83°C (comfortable temperature) - Median: 36°C - **GPU Core Clock**: - Mean: ~680.99 MHz - Median: 675 MHz - **GPU Memory Clock**: - Constant at 7001 MHz - **GPU VRAM Usage**: - Mean: ~1.5488 GB - Stable usage with minimal variance - **GPU Power Consumption**: - Mean: ~42.71 W - Median: 43 W #### **Memory Metrics** - **RAM Usage**: - Mean: ~8.71 GB (out of total RAM) - Stable usage with minor fluctuations - **Swap Usage**: - Minimal swap usage (~0.00029 GB) --- ### Key Observations: 1. **CPU Performance**: The CPU is operating at near-full capacity (~99.87% load). This indicates that the system is heavily utilized, potentially causing bottleneck issues. 2. **GPU Performance**: The GPU is running at a moderate load (~36%), suggesting underutilization given the high CPU usage. However, this could vary based on specific workloads. 3. **Temperature Management**: Both CPU and GPU temperatures are within safe operating ranges (49°C and 35.83°C, respectively). No thermal throttling issues detected. 4. **Memory Usage**: RAM usage is stable (~8.71 GB), with minimal swap usage, indicating efficient memory management. --- ### Potential Areas for Optimization: 1. **CPU Load**: High CPU utilization suggests potential bottlenecks. Consider optimizing tasks or upgrading to a more powerful CPU if feasible. 2. **GPU Utilization**: GPU load is relatively low (~36%). If the system relies on GPU-intensive workloads, consider increasing GPU usage or upgrading hardware. 3. **Power Management**: While GPU power consumption is moderate, further optimizations could be explored for energy efficiency. --- ### Conclusion: The benchmark shows a well-performing system with high CPU utilization and stable temperatures across both CPU and GPU. However, there may be opportunities to optimize CPU usage or enhance GPU performance for specific workloads.