Supermicro Super Server
Geekbench ML Score
1416
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 15 2024 12:56 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 i7-13700E |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 2.00 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% |
672
125.7 IPS |
|
|
Image Classification (F16)
|
100% |
665
124.4 IPS |
|
|
Image Classification (I8)
|
100% |
551
103.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
967
16.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
969
16.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
742
12.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5082
6.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
5081
6.15 IPS |
|
|
Pose Estimation (I8)
|
100% |
3430
4.15 IPS |
|
|
Object Detection (F32)
|
100% |
778
58.1 IPS |
|
|
Object Detection (F16)
|
100% |
769
57.4 IPS |
|
|
Object Detection (I8)
|
54% |
639
47.7 IPS |
|
|
Face Detection (F32)
|
100% |
1372
16.3 IPS |
|
|
Face Detection (F16)
|
100% |
1368
16.3 IPS |
|
|
Face Detection (I8)
|
89% |
949
11.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2968
23.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2976
23.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
2284
17.7 IPS |
|
|
Style Transfer (F32)
|
100% |
10651
14.0 IPS |
|
|
Style Transfer (F16)
|
100% |
10562
13.9 IPS |
|
|
Style Transfer (I8)
|
98% |
7914
10.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1757
62.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1789
63.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
962
34.4 IPS |
|
|
Text Classification (F32)
|
100% |
851
1.22 KIPS |
|
|
Text Classification (F16)
|
100% |
852
1.22 KIPS |
|
|
Text Classification (I8)
|
98% |
414
594.9 IPS |
|
|
Machine Translation (F32)
|
100% |
704
13.0 IPS |
|
|
Machine Translation (F16)
|
100% |
708
13.0 IPS |
|
|
Machine Translation (I8)
|
70% |
412
7.58 IPS |
