Supermicro Super Server
Geekbench ML Score
1325
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 15 2024 12:31 PM |
| Views | 3 |
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 | DirectML |
| Device | Intel(R) UHD Graphics 770 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
620
116.1 IPS |
|
|
Image Classification (F16)
|
100% |
623
116.6 IPS |
|
|
Image Classification (I8)
|
100% |
509
95.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
931
15.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
929
15.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
712
11.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
4935
5.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
4943
5.99 IPS |
|
|
Pose Estimation (I8)
|
100% |
3268
3.96 IPS |
|
|
Object Detection (F32)
|
100% |
719
53.7 IPS |
|
|
Object Detection (F16)
|
100% |
716
53.5 IPS |
|
|
Object Detection (I8)
|
54% |
602
44.9 IPS |
|
|
Face Detection (F32)
|
100% |
1341
15.9 IPS |
|
|
Face Detection (F16)
|
100% |
1351
16.1 IPS |
|
|
Face Detection (I8)
|
89% |
940
11.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2775
21.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2778
21.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
2133
16.5 IPS |
|
|
Style Transfer (F32)
|
100% |
10010
13.2 IPS |
|
|
Style Transfer (F16)
|
100% |
9883
13.0 IPS |
|
|
Style Transfer (I8)
|
98% |
7414
9.75 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1652
59.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1659
59.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
899
32.1 IPS |
|
|
Text Classification (F32)
|
100% |
717
1.03 KIPS |
|
|
Text Classification (F16)
|
100% |
722
1.04 KIPS |
|
|
Text Classification (I8)
|
98% |
361
519.3 IPS |
|
|
Machine Translation (F32)
|
100% |
651
12.0 IPS |
|
|
Machine Translation (F16)
|
100% |
655
12.1 IPS |
|
|
Machine Translation (I8)
|
70% |
385
7.09 IPS |
