JGINYUE B650I Night Devil
Geekbench AI Score
8038
Single Precision Score
8028
Half Precision Score
18988
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | originaldudu |
| Upload Date | January 06 2025 12:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | JGINYUE B650I Night Devil |
| Motherboard | JGINYUE B650I Night Devil |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4636
862.2 IPS |
|
|
Image Classification (HP)
|
100% |
4632
861.3 IPS |
|
|
Image Classification (Q)
|
100% |
10415
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5632
91.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5666
91.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15021
243.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12865
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12918
15.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
50583
59.2 IPS |
|
|
Object Detection (SP)
|
100% |
4991
395.9 IPS |
|
|
Object Detection (HP)
|
100% |
4848
384.6 IPS |
|
|
Object Detection (Q)
|
88% |
11626
932.0 IPS |
|
|
Face Detection (SP)
|
100% |
11979
142.3 IPS |
|
|
Face Detection (HP)
|
100% |
11986
142.4 IPS |
|
|
Face Detection (Q)
|
100% |
31188
370.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12721
98.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12659
97.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
35458
275.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33765
43.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34017
43.7 IPS |
|
|
Style Transfer (Q)
|
98% |
119883
154.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7268
268.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7218
266.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21290
788.4 IPS |
|
|
Text Classification (SP)
|
100% |
3637
4.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3664
4.89 KIPS |
|
|
Text Classification (Q)
|
92% |
4344
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4940
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4961
85.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5403
93.1 IPS |
