Inspur NF5468M5
Geekbench AI Score
799
Single Precision Score
802
Half Precision Score
534
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% |
464
86.3 IPS |
|
|
Image Classification (Q)
|
99% |
275
51.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1017
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
487
7.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
974
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
1038
1.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
1338
1.57 IPS |
|
|
Object Detection (SP)
|
100% |
700
55.5 IPS |
|
|
Object Detection (HP)
|
100% |
778
61.7 IPS |
|
|
Object Detection (Q)
|
85% |
595
47.9 IPS |
|
|
Face Detection (SP)
|
100% |
1260
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1177
14.0 IPS |
|
|
Face Detection (Q)
|
97% |
1129
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
912
7.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
1076
8.29 IPS |
|
|
Depth Estimation (Q)
|
63% |
927
8.69 IPS |
|
|
Style Transfer (SP)
|
100% |
1374
1.77 IPS |
|
|
Style Transfer (HP)
|
100% |
1290
1.66 IPS |
|
|
Style Transfer (Q)
|
98% |
2832
3.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
592
21.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
475
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
599
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
619
825.6 IPS |
|
|
Text Classification (HP)
|
100% |
595
794.6 IPS |
|
|
Text Classification (Q)
|
92% |
227
304.7 IPS |
|
|
Machine Translation (SP)
|
100% |
427
7.35 IPS |
|
|
Machine Translation (HP)
|
100% |
551
9.49 IPS |
|
|
Machine Translation (Q)
|
58% |
44
1.04 IPS |
