JGINYUE B650I Night Devil
Geekbench AI Score
4555
Single Precision Score
4462
Half Precision Score
12141
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Speedy22 |
| Upload Date | September 02 2025 11:40 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 8500G w/ Radeon 740M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | JGINYUE B650I Night Devil |
| Motherboard | JGINYUE B650I Night Devil |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8500G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 120 Stepping 0 |
| Base Frequency | 3.55 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2718
505.5 IPS |
|
|
Image Classification (HP)
|
100% |
2701
502.4 IPS |
|
|
Image Classification (Q)
|
100% |
7747
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3181
51.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2772
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8233
133.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5125
5.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
5124
5.98 IPS |
|
|
Pose Estimation (Q)
|
98% |
19814
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
2701
214.2 IPS |
|
|
Object Detection (HP)
|
100% |
2701
214.3 IPS |
|
|
Object Detection (Q)
|
88% |
8228
659.6 IPS |
|
|
Face Detection (SP)
|
100% |
7579
90.1 IPS |
|
|
Face Detection (HP)
|
100% |
7548
89.7 IPS |
|
|
Face Detection (Q)
|
100% |
19807
235.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7033
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6985
53.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
19876
154.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14058
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14085
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
51911
66.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3176
117.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3180
117.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10608
392.9 IPS |
|
|
Text Classification (SP)
|
100% |
2846
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2693
3.59 KIPS |
|
|
Text Classification (Q)
|
92% |
4642
6.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4748
81.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4750
81.8 IPS |
|
|
Machine Translation (Q)
|
100% |
6655
114.6 IPS |
