Supermicro SYS-530A-IL
Geekbench AI Score
2449
Single Precision Score
1203
Half Precision Score
3544
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | MarcusBenjamin |
| Upload Date | December 03 2025 01:10 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Xeon(R) W-1250E CPU @ 3.50GHz |
| 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% |
2172
404.0 IPS |
|
|
Image Classification (HP)
|
100% |
442
82.1 IPS |
|
|
Image Classification (Q)
|
96% |
3125
583.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1000
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
3636
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3554
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3692
4.31 IPS |
|
|
Pose Estimation (Q)
|
86% |
7897
9.34 IPS |
|
|
Object Detection (SP)
|
100% |
1994
158.2 IPS |
|
|
Object Detection (HP)
|
100% |
552
43.8 IPS |
|
|
Object Detection (Q)
|
58% |
1930
210.9 IPS |
|
|
Face Detection (SP)
|
100% |
2198
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
1082
12.9 IPS |
|
|
Face Detection (Q)
|
96% |
5032
60.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5587
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1709
13.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6981
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10470
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8301
10.7 IPS |
|
|
Style Transfer (Q)
|
87% |
9112
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1818
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1713
63.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3139
116.3 IPS |
|
|
Text Classification (SP)
|
100% |
1522
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1114
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1421
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
543
9.36 IPS |
|
|
Machine Translation (Q)
|
68% |
1617
31.2 IPS |
