Supermicro SYS-530A-IL
Geekbench AI Score
1033
Single Precision Score
1195
Half Precision Score
844
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | MarcusBenjamin |
| Upload Date | December 03 2025 01:24 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics P630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Supermicro SYS-530A-IL |
| Motherboard | Supermicro X12SAE-5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) W-1250E CPU @ 3.50GHz |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 80.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
426
79.2 IPS |
|
|
Image Classification (HP)
|
100% |
498
92.6 IPS |
|
|
Image Classification (Q)
|
100% |
435
80.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
735
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
540
8.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
2489
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
3962
4.62 IPS |
|
|
Pose Estimation (Q)
|
97% |
2265
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
525
41.7 IPS |
|
|
Object Detection (HP)
|
98% |
532
42.3 IPS |
|
|
Object Detection (Q)
|
86% |
486
39.0 IPS |
|
|
Face Detection (SP)
|
100% |
1022
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1192
14.2 IPS |
|
|
Face Detection (Q)
|
97% |
898
10.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1872
14.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2307
17.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
1624
13.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6385
8.21 IPS |
|
|
Style Transfer (HP)
|
100% |
9514
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
5519
7.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1263
46.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1763
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
978
36.2 IPS |
|
|
Text Classification (SP)
|
100% |
509
679.2 IPS |
|
|
Text Classification (HP)
|
100% |
321
428.1 IPS |
|
|
Text Classification (Q)
|
97% |
303
405.3 IPS |
|
|
Machine Translation (SP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (HP)
|
100% |
522
8.98 IPS |
|
|
Machine Translation (Q)
|
70% |
299
5.60 IPS |
