Supermicro Super Server
Geekbench ML Score
4044
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 15 2024 01:26 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X13SAV-LVDS |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700E |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.88 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2595
485.6 IPS |
|
|
Image Classification (F16)
|
100% |
2587
484.2 IPS |
|
|
Image Classification (I8)
|
99% |
4352
814.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1795
30.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1814
30.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2674
44.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
7551
9.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
7543
9.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
24360
29.5 IPS |
|
|
Object Detection (F32)
|
100% |
2229
166.4 IPS |
|
|
Object Detection (F16)
|
100% |
2004
149.6 IPS |
|
|
Object Detection (I8)
|
62% |
2264
169.0 IPS |
|
|
Face Detection (F32)
|
100% |
2709
32.2 IPS |
|
|
Face Detection (F16)
|
100% |
2722
32.4 IPS |
|
|
Face Detection (I8)
|
89% |
3472
41.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
7954
61.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7930
61.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
12376
96.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17117
22.5 IPS |
|
|
Style Transfer (F16)
|
100% |
17271
22.7 IPS |
|
|
Style Transfer (I8)
|
98% |
14269
18.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4012
143.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4011
143.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5822
207.9 IPS |
|
|
Text Classification (F32)
|
100% |
1908
2.74 KIPS |
|
|
Text Classification (F16)
|
100% |
1909
2.74 KIPS |
|
|
Text Classification (I8)
|
98% |
570
819.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2775
51.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2768
50.9 IPS |
|
|
Machine Translation (I8)
|
67% |
3562
65.6 IPS |
