Supermicro Super Server
Geekbench ML Score
1196
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 15 2024 01:36 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, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.88 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 4.00 MB x 3 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
532
99.6 IPS |
|
|
Image Classification (F16)
|
100% |
536
100.3 IPS |
|
|
Image Classification (I8)
|
100% |
449
84.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
992
16.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
991
16.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
757
12.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
3165
3.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
3174
3.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
2891
3.50 IPS |
|
|
Object Detection (F32)
|
100% |
527
39.3 IPS |
|
|
Object Detection (F16)
|
100% |
525
39.2 IPS |
|
|
Object Detection (I8)
|
54% |
463
34.5 IPS |
|
|
Face Detection (F32)
|
100% |
1361
16.2 IPS |
|
|
Face Detection (F16)
|
100% |
1358
16.1 IPS |
|
|
Face Detection (I8)
|
89% |
984
11.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2062
16.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2065
16.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
1811
14.0 IPS |
|
|
Style Transfer (F32)
|
100% |
9082
11.9 IPS |
|
|
Style Transfer (F16)
|
100% |
9083
11.9 IPS |
|
|
Style Transfer (I8)
|
98% |
7875
10.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1612
57.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1621
57.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1288
46.0 IPS |
|
|
Text Classification (F32)
|
100% |
819
1.18 KIPS |
|
|
Text Classification (F16)
|
100% |
833
1.20 KIPS |
|
|
Text Classification (I8)
|
98% |
399
573.0 IPS |
|
|
Machine Translation (F32)
|
100% |
479
8.81 IPS |
|
|
Machine Translation (F16)
|
100% |
480
8.83 IPS |
|
|
Machine Translation (I8)
|
70% |
323
5.94 IPS |
