Supermicro Super Server
Geekbench AI Score
30895
Single Precision Score
40441
Half Precision Score
23796
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ACSOUV |
| Upload Date | September 26 2024 05:35 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X12SPA-TF |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | GenuineIntel Family 6 Model 106 Stepping 6 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10718
1.99 KIPS |
|
|
Image Classification (HP)
|
99% |
13986
2.61 KIPS |
|
|
Image Classification (Q)
|
100% |
9221
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16514
267.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18570
301.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15445
251.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
294221
343.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
483269
563.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
257778
301.9 IPS |
|
|
Object Detection (SP)
|
100% |
15141
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
18472
1.47 KIPS |
|
|
Object Detection (Q)
|
89% |
12504
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
37162
441.6 IPS |
|
|
Face Detection (HP)
|
100% |
43568
517.7 IPS |
|
|
Face Detection (Q)
|
97% |
32326
385.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
85999
662.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
139957
1.08 KIPS |
|
|
Depth Estimation (Q)
|
75% |
63021
508.3 IPS |
|
|
Style Transfer (SP)
|
100% |
515708
662.9 IPS |
|
|
Style Transfer (HP)
|
100% |
910579
1.17 KIPS |
|
|
Style Transfer (Q)
|
98% |
445522
574.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51886
1.92 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66228
2.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39390
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
3562
4.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1931
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3914
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3853
66.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1837
41.0 IPS |
