JGINYUE B650I Night Devil
Geekbench AI Score
4947
Single Precision Score
2061
Half Precision Score
9040
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BLACKO |
| Upload Date | April 08 2025 08:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | JGINYUE B650I Night Devil |
| Motherboard | JGINYUE B650I Night Devil |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4821
896.6 IPS |
|
|
Image Classification (HP)
|
100% |
821
152.6 IPS |
|
|
Image Classification (Q)
|
99% |
9676
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1107
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3667
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4638
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
4160
4.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
20208
23.7 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
100% |
829
65.7 IPS |
|
|
Object Detection (Q)
|
86% |
10077
809.9 IPS |
|
|
Face Detection (SP)
|
100% |
9921
117.9 IPS |
|
|
Face Detection (HP)
|
100% |
2303
27.4 IPS |
|
|
Face Detection (Q)
|
97% |
13100
156.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11722
90.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3218
24.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
20403
162.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21120
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16748
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
32268
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3745
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3187
117.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4868
180.3 IPS |
|
|
Text Classification (SP)
|
100% |
2214
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2173
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3251
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (Q)
|
65% |
5532
111.2 IPS |
