Ningyu N7
Geekbench AI Score
3771
Single Precision Score
4461
Half Precision Score
12997
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 22 2025 10:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 PRO 7940HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Ningyu N7 |
| Motherboard | Ningyu N7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 PRO 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2584
480.5 IPS |
|
|
Image Classification (HP)
|
100% |
2668
496.2 IPS |
|
|
Image Classification (Q)
|
100% |
8958
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2741
44.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3238
52.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9445
153.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5404
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
5043
5.88 IPS |
|
|
Pose Estimation (Q)
|
98% |
26337
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (HP)
|
100% |
2759
218.8 IPS |
|
|
Object Detection (Q)
|
88% |
8242
660.7 IPS |
|
|
Face Detection (SP)
|
100% |
5474
65.0 IPS |
|
|
Face Detection (HP)
|
100% |
5692
67.6 IPS |
|
|
Face Detection (Q)
|
100% |
19589
232.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7141
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6848
52.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
17880
139.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16921
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16130
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
63962
82.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3039
112.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3080
113.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13117
485.8 IPS |
|
|
Text Classification (SP)
|
100% |
665
887.9 IPS |
|
|
Text Classification (HP)
|
100% |
3316
4.43 KIPS |
|
|
Text Classification (Q)
|
92% |
4681
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4245
73.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4044
69.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5448
93.8 IPS |
