Inspur NF5270M3
Geekbench AI Score
1213
Single Precision Score
456
Half Precision Score
1298
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | xiaoku |
| Upload Date | March 26 2025 12:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2660 v2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Datacenter (64-bit) |
| Model | Inspur NF5270M3 |
| Motherboard | Inspur NF5270M3 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2660 v2 |
| Topology | 2 Processors, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 296.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
953
177.2 IPS |
|
|
Image Classification (HP)
|
100% |
133
24.6 IPS |
|
|
Image Classification (Q)
|
96% |
1455
271.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
477
7.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (Q)
|
97% |
572
9.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
2118
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
1798
2.10 IPS |
|
|
Pose Estimation (Q)
|
86% |
3194
3.78 IPS |
|
|
Object Detection (SP)
|
100% |
921
73.0 IPS |
|
|
Object Detection (HP)
|
100% |
180
14.2 IPS |
|
|
Object Detection (Q)
|
58% |
1059
115.8 IPS |
|
|
Face Detection (SP)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
486
5.77 IPS |
|
|
Face Detection (Q)
|
96% |
2692
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2797
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
652
5.03 IPS |
|
|
Depth Estimation (Q)
|
78% |
2736
21.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5268
6.77 IPS |
|
|
Style Transfer (HP)
|
100% |
4280
5.50 IPS |
|
|
Style Transfer (Q)
|
87% |
5076
6.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
811
30.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
958
35.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
800
29.6 IPS |
|
|
Text Classification (SP)
|
100% |
396
528.9 IPS |
|
|
Text Classification (HP)
|
100% |
157
209.8 IPS |
|
|
Text Classification (Q)
|
97% |
206
275.6 IPS |
|
|
Machine Translation (SP)
|
100% |
549
9.45 IPS |
|
|
Machine Translation (HP)
|
100% |
184
3.18 IPS |
|
|
Machine Translation (Q)
|
68% |
783
15.1 IPS |
