Supermicro X10SAT
Geekbench AI Score
6319
Single Precision Score
5631
Half Precision Score
4454
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 30 2025 11:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Tesla P4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Supermicro X10SAT |
| Motherboard | Supermicro X10SAT |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2288
425.6 IPS |
|
|
Image Classification (HP)
|
100% |
2247
417.8 IPS |
|
|
Image Classification (Q)
|
99% |
1819
339.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3323
53.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3596
58.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2725
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
41987
49.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
24051
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
33225
38.9 IPS |
|
|
Object Detection (SP)
|
100% |
2877
228.2 IPS |
|
|
Object Detection (HP)
|
100% |
2963
235.0 IPS |
|
|
Object Detection (Q)
|
84% |
2329
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
5498
65.3 IPS |
|
|
Face Detection (HP)
|
100% |
6098
72.5 IPS |
|
|
Face Detection (Q)
|
97% |
4475
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14375
110.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11460
88.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
10557
84.4 IPS |
|
|
Style Transfer (SP)
|
100% |
67743
87.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38255
49.2 IPS |
|
|
Style Transfer (Q)
|
98% |
49959
64.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11668
430.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8865
327.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6782
251.1 IPS |
|
|
Text Classification (SP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (Q)
|
97% |
569
762.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1837
31.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1811
31.3 IPS |
|
|
Machine Translation (Q)
|
70% |
880
16.5 IPS |
