Supermicro X9DAi
Geekbench AI Score
1411
Single Precision Score
652
Half Precision Score
1579
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | pmai |
| Upload Date | December 17 2025 10:52 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2667 v2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Supermicro X9DAi |
| Motherboard | Supermicro X9DAi |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2667 v2 |
| Topology | 2 Processors, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1070
199.1 IPS |
|
|
Image Classification (HP)
|
100% |
243
45.2 IPS |
|
|
Image Classification (Q)
|
96% |
1508
281.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
600
9.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
369
5.99 IPS |
|
|
Image Segmentation (Q)
|
97% |
1783
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2256
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1924
2.24 IPS |
|
|
Pose Estimation (Q)
|
86% |
2998
3.54 IPS |
|
|
Object Detection (SP)
|
100% |
1012
80.3 IPS |
|
|
Object Detection (HP)
|
100% |
302
23.9 IPS |
|
|
Object Detection (Q)
|
58% |
1037
113.3 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
720
8.55 IPS |
|
|
Face Detection (Q)
|
96% |
2940
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3006
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
979
7.55 IPS |
|
|
Depth Estimation (Q)
|
78% |
2749
21.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5693
7.32 IPS |
|
|
Style Transfer (HP)
|
100% |
5102
6.56 IPS |
|
|
Style Transfer (Q)
|
87% |
4993
6.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
947
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
809
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1205
44.6 IPS |
|
|
Text Classification (SP)
|
100% |
593
792.0 IPS |
|
|
Text Classification (HP)
|
100% |
286
381.3 IPS |
|
|
Text Classification (Q)
|
97% |
238
319.2 IPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (Q)
|
68% |
996
19.2 IPS |
