AMD EPYC 7R13 48-Core testing with a Supermicro H12SSL-I v1.02 (2.7 BIOS) and NVIDIA GeForce RTX 3080 10GB on EndeavourOS rolling 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 2401261-NE-CUR11415260
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AMD EPYC 7R13 48-Core testing with a Supermicro H12SSL-I v1.02 (2.7 BIOS) and NVIDIA GeForce RTX 3080 10GB on EndeavourOS rolling via the Phoronix Test Suite.
,,"AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 3080 10GB","AMD EPYC 7R13 48-Core"
Processor,,AMD EPYC 7R13 48-Core @ 3.73GHz (48 Cores / 96 Threads),AMD EPYC 7R13 48-Core @ 3.73GHz (48 Cores / 96 Threads)
Motherboard,,Supermicro H12SSL-I v1.02 (2.7 BIOS),Supermicro H12SSL-I v1.02 (2.7 BIOS)
Chipset,,AMD Starship/Matisse,AMD Starship/Matisse
Memory,,256GB,256GB
Disk,,15363GB Micron_7450_MTFDKCC15T3TFR,15363GB Micron_7450_MTFDKCC15T3TFR
Graphics,,NVIDIA GeForce RTX 3080 10GB,NVIDIA GeForce RTX 3080 10GB
Audio,,NVIDIA GA102 HD Audio,NVIDIA GA102 HD Audio
Monitor,,38GN950,38GN950
Network,,2 x Intel X710 for 10GbE SFP+,2 x Intel X710 for 10GbE SFP+
OS,,EndeavourOS rolling,EndeavourOS rolling
Kernel,,6.7.0-zen3-1-zen (x86_64),6.7.0-zen3-1-zen (x86_64)
Desktop,,Xfce 4.18,Xfce 4.18
Display Server,,X Server 1.21.1.11,X Server 1.21.1.11
Display Driver,,NVIDIA 545.29.06,NVIDIA 545.29.06
OpenGL,,4.6.0,4.6.0
Compiler,,GCC 13.2.1 20230801 + Clang 16.0.6 + LLVM 16.0.6 + CUDA 12.3,GCC 13.2.1 20230801 + Clang 16.0.6 + LLVM 16.0.6 + CUDA 12.3
File-System,,btrfs,btrfs
Screen Resolution,,3840x1600,3840x1600
,,"AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 3080 10GB","AMD EPYC 7R13 48-Core"
"Redis - Test: LPUSH - Parallel Connections: 1000 (Reqs/sec)",HIB,1797052.21,
"Redis - Test: SADD - Parallel Connections: 1000 (Reqs/sec)",HIB,2343177.00,
"Redis - Test: LPUSH - Parallel Connections: 500 (Reqs/sec)",HIB,1743815.39,
"Redis - Test: SET - Parallel Connections: 1000 (Reqs/sec)",HIB,2092101.7,
"Redis - Test: SADD - Parallel Connections: 500 (Reqs/sec)",HIB,2293241.02,
"Redis - Test: LPUSH - Parallel Connections: 50 (Reqs/sec)",HIB,1995175.85,
"Redis - Test: LPOP - Parallel Connections: 500 (Reqs/sec)",HIB,3032015.83,
"Redis - Test: SADD - Parallel Connections: 50 (Reqs/sec)",HIB,2450984.92,
"Redis - Test: LPOP - Parallel Connections: 50 (Reqs/sec)",HIB,3346418.75,
"Redis - Test: GET - Parallel Connections: 500 (Reqs/sec)",HIB,2652247.58,
"Redis - Test: SET - Parallel Connections: 50 (Reqs/sec)",HIB,2296166.75,
"Redis - Test: GET - Parallel Connections: 50 (Reqs/sec)",HIB,3291152.25,
"Memcached - Set To Get Ratio: 1:100 (Ops/sec)",HIB,5095243.46,
"Memcached - Set To Get Ratio: 1:10 (Ops/sec)",HIB,4933024.30,
"Memcached - Set To Get Ratio: 5:1 (Ops/sec)",HIB,859655.41,
"Memcached - Set To Get Ratio: 1:5 (Ops/sec)",HIB,3892133.86,
"Memcached - Set To Get Ratio: 1:1 (Ops/sec)",HIB,1402255.55,
"POV-Ray - Trace Time (sec)",LIB,,10.652
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,,686.396
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,,3.00691
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,,11.5275
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,,1.00977
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,,3.90328
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,,1.79340
"RocksDB - Test: Read Random Write Random (Op/s)",HIB,2962759,
"RocksDB - Test: Read While Writing (Op/s)",HIB,5897561,
"RocksDB - Test: Random Fill Sync (Op/s)",HIB,478763,
"RocksDB - Test: Sequential Fill (Op/s)",HIB,470790,
"RocksDB - Test: Update Random (Op/s)",HIB,447591,
"RocksDB - Test: Random Read (Op/s)",HIB,223375461,
"RocksDB - Test: Random Fill (Op/s)",HIB,496967,
"Redis - Test: LPOP - Parallel Connections: 1000 (Reqs/sec)",HIB,2529330.97,
"Redis - Test: GET - Parallel Connections: 1000 (Reqs/sec)",HIB,2523813.88,
"Redis - Test: SET - Parallel Connections: 500 (Reqs/sec)",HIB,2040798.23,
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,,1195.24
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,,