Benchmark #71

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Different runs comparison

Submitted 3 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
Bpfland CachyOS NVIDIA GeForce RTX 3060 Ti AMD Ryzen 7 5700X 8-Core Processor 17 GB 6.12.2-1B5810 powersave
Bpfland-next CachyOS NVIDIA GeForce RTX 3060 Ti AMD Ryzen 7 5700X 8-Core Processor 17 GB 6.12.2-1B5810 powersave
Flash CachyOS NVIDIA GeForce RTX 3060 Ti AMD Ryzen 7 5700X 8-Core Processor 17 GB 6.12.2-1B5810 powersave
LAVD CachyOS NVIDIA GeForce RTX 3060 Ti AMD Ryzen 7 5700X 8-Core Processor 17 GB 6.12.2-1B5810 powersave
Rusty CachyOS NVIDIA GeForce RTX 3060 Ti AMD Ryzen 7 5700X 8-Core Processor 17 GB 6.12.2-1B5810 powersave

Based on the provided benchmark data for Benchmark Benchmark with the machine details of OS "Linux" and hardware specifications (CPU: 4 cores, 8 threads; GPU: Nvidia GeForce GTX 1660 SUPER), here is an analysis:

General Observations:

  • The system appears to be running very close to full CPU capacity (CPU load around 99.9%).
  • The average GPU temperature remains within safe limits (32°C - 34°C) but the GPU is moderately loaded, with a peak usage of up to 100%.

Detailed Analysis:

Temperature:

  • CPU Temp: Average ~48.99°C, Minimum ~48°C, Maximum ~49°C.

  • This temperature range is relatively moderate and should not cause any immediate concern for thermal throttling or overheating issues.

  • GPU Temp: Average ~32.50°C, Minimum ~32°C, Maximum ~34°C.

  • The GPU operates comfortably within safe operating temperatures for extended periods without risk of failure or reduced performance due to heat.

Load:

  • CPU Load: Extremely high at an average of almost 100%, with minimal fluctuation (standard deviation is very small).

  • This indicates that the system may be running resource-intensive tasks, likely CPU-bound processes such as computation-heavy applications.

  • GPU Load: Average ~31.26%, with a minimum of 18% and maximum around 43%.

  • Although GPU usage is present, it’s relatively low compared to the near-full load on the CPU.

Clock Speeds:

  • CPU: The system's clock speed data isn't provided in detail but can be inferred from the high load.

  • GPU Core Clock: Average ~248.39 MHz, with a range of 210 MHz (minimum) to 345 MHz (maximum).

  • This indicates that the GPU is scaling its clock speed to maintain performance under the current workload.

Memory Usage:

  • VRAM Used: A consistent average usage of ~1.55 GiB.

  • Indicates efficient use of GPU memory but no signs of VRAM pressure or bottlenecks, suggesting sufficient resources for current tasks.

  • RAM Used: Average ~9.096 GiB out of a total capacity not specified (assumed to be around 16 GiB).

  • The system is using almost half of the RAM under this workload, which is normal but may limit its ability to handle additional processes without swapping to disk.

Power Consumption:

  • GPU Power: Average ~33.87 W.
  • This power consumption aligns with moderate GPU usage levels and is within expected ranges for a GTX 1660 SUPER under typical loads.

Recommendations:

  1. Monitor CPU Temperature: While the current temperature range is acceptable, ensure continued monitoring as high load over prolonged periods can lead to increased heat generation.
  2. Optimize Workload: Consider optimizing resource-intensive tasks if possible or distributing them across multiple machines to avoid saturating CPU resources.
  3. Memory Management: Monitor and manage RAM usage closely, especially when considering running additional processes or applications that could benefit from more free memory.
  4. Cooling System: Ensure the cooling system is functioning efficiently and consider adding supplementary fans or better airflow if future loads are expected to increase.

Overall, this benchmark indicates a well-performing system under current workloads but may require optimization for scalability and additional resource management strategies as needed.