gpu-server-2u

2 x Intel Xeon E5-2697 v4 testing with a Dell PowerEdge R730 [0WCJNT] (2.19.0 BIOS) and NVIDIA GA102GL [RTX A5000] 24GB on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2404151-NE-GPUSERVER77
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
GPU-SERVER-2U-2xA5000
April 15
  1 Minute
2 x Intel Xeon E5-2697 v4 - NVIDIA GA102GL [RTX
April 15
  1 Minute
Invert Hiding All Results Option
  1 Minute


gpu-server-2uOpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon E5-2697 v4 @ 3.60GHz (36 Cores / 72 Threads)Dell PowerEdge R730 [0WCJNT] (2.19.0 BIOS)Intel Xeon E7 v4/Xeon8 x 32 GB DDR4-2400MT/s M393A4K40CB1-CRC2 x 1920GB SAMSUNG MZ7LH1T9NVIDIA GA102GL [RTX A5000] 24GBNVIDIA GA102 HD Audio2 x Intel 10-Gigabit X540-AT2 + 2 x Intel I350Ubuntu 22.045.15.0-102-generic (x86_64)NVIDIA1.3.277GCC 12.3.0ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDisplay DriverVulkanCompilerFile-SystemScreen ResolutionGpu-server-2u BenchmarksSystem Logs- Transparent Huge Pages: madvise- GPU-SERVER-2U-2xA5000: Scaling Governor: intel_cpufreq schedutil - CPU Microcode: 0xb000040 - 2 x Intel Xeon E5-2697 v4 - NVIDIA GA102GL [RTX: Scaling Governor: intel_cpufreq performance - CPU Microcode: 0xb000040 - Python 3.10.12- gather_data_sampling: Not affected + itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: conditional RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

GPU-SERVER-2U-2xA5000: The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'warnings'. Did you mean: 'hanning'?

2 x Intel Xeon E5-2697 v4 - NVIDIA GA102GL [RTX: The test quit with a non-zero exit status. E: AttributeError: module 'numpy' has no attribute 'warnings'. Did you mean: 'hanning'?