Supermicro X10SAT
Geekbench AI Score
6368
Single Precision Score
5681
Half Precision Score
4527
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 30 2025 11:10 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% |
2351
437.2 IPS |
|
|
Image Classification (HP)
|
100% |
2356
438.1 IPS |
|
|
Image Classification (Q)
|
99% |
1928
359.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3351
54.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3616
58.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2747
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
42604
49.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24020
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
32998
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
2881
228.6 IPS |
|
|
Object Detection (HP)
|
100% |
2994
237.5 IPS |
|
|
Object Detection (Q)
|
84% |
2361
190.5 IPS |
|
|
Face Detection (SP)
|
100% |
5545
65.9 IPS |
|
|
Face Detection (HP)
|
100% |
6146
73.0 IPS |
|
|
Face Detection (Q)
|
97% |
4550
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14364
110.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11488
88.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
10562
84.4 IPS |
|
|
Style Transfer (SP)
|
100% |
67777
87.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38302
49.2 IPS |
|
|
Style Transfer (Q)
|
98% |
50052
64.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11795
435.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9039
333.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6741
249.6 IPS |
|
|
Text Classification (SP)
|
100% |
976
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1279
1.71 KIPS |
|
|
Text Classification (Q)
|
97% |
612
819.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1827
31.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1828
31.6 IPS |
|
|
Machine Translation (Q)
|
70% |
883
16.6 IPS |
