Supermicro Super Server
Geekbench ML Score
3541
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 15 2024 12:24 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X13SAV-LVDS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700E |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 25.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2044
382.5 IPS |
|
|
Image Classification (F16)
|
100% |
2044
382.5 IPS |
|
|
Image Classification (I8)
|
99% |
3759
703.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1649
27.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1631
27.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2567
42.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
7297
8.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
7370
8.92 IPS |
|
|
Pose Estimation (I8)
|
100% |
22350
27.1 IPS |
|
|
Object Detection (F32)
|
100% |
1773
132.3 IPS |
|
|
Object Detection (F16)
|
100% |
1926
143.8 IPS |
|
|
Object Detection (I8)
|
62% |
1710
127.6 IPS |
|
|
Face Detection (F32)
|
100% |
2810
33.4 IPS |
|
|
Face Detection (F16)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (I8)
|
89% |
3493
41.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
7055
54.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7268
56.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
12689
98.4 IPS |
|
|
Style Transfer (F32)
|
100% |
15942
21.0 IPS |
|
|
Style Transfer (F16)
|
100% |
16013
21.1 IPS |
|
|
Style Transfer (I8)
|
98% |
16939
22.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3718
132.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3630
129.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4996
178.4 IPS |
|
|
Text Classification (F32)
|
100% |
1556
2.24 KIPS |
|
|
Text Classification (F16)
|
100% |
1518
2.18 KIPS |
|
|
Text Classification (I8)
|
98% |
445
638.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1708
31.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1674
30.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2539
46.7 IPS |
