Inspur NF5468M5
Geekbench AI Score
738
Single Precision Score
598
Half Precision Score
526
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | April 16 2025 06:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon Silver 4210 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Inspur NF5468M5 |
| Motherboard | Inspur YZMB-01130-107 |
| CPU Information | |
|---|---|
| Name | Intel Xeon Silver 4210 |
| Topology | 2 Processors, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
620
115.4 IPS |
|
|
Image Classification (HP)
|
100% |
376
69.9 IPS |
|
|
Image Classification (Q)
|
99% |
203
37.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1024
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1184
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
445
7.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
991
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1069
1.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
1427
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
814
64.6 IPS |
|
|
Object Detection (HP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (Q)
|
85% |
337
27.1 IPS |
|
|
Face Detection (SP)
|
100% |
881
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
955
11.4 IPS |
|
|
Face Detection (Q)
|
97% |
1071
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
741
5.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
791
6.10 IPS |
|
|
Depth Estimation (Q)
|
63% |
658
6.17 IPS |
|
|
Style Transfer (SP)
|
100% |
1349
1.73 IPS |
|
|
Style Transfer (HP)
|
100% |
1455
1.87 IPS |
|
|
Style Transfer (Q)
|
98% |
2532
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
576
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
414
15.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
675
25.0 IPS |
|
|
Text Classification (SP)
|
100% |
620
827.4 IPS |
|
|
Text Classification (HP)
|
100% |
530
706.9 IPS |
|
|
Text Classification (Q)
|
92% |
215
289.1 IPS |
|
|
Machine Translation (SP)
|
100% |
301
5.18 IPS |
|
|
Machine Translation (HP)
|
100% |
96
1.66 IPS |
|
|
Machine Translation (Q)
|
58% |
145
3.39 IPS |
