JGINYUE B650I Night Devil
Geekbench AI Score
29541
Single Precision Score
39573
Half Precision Score
25047
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BLACKO |
| Upload Date | April 09 2025 12:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| 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% |
12812
2.38 KIPS |
|
|
Image Classification (HP)
|
100% |
13890
2.58 KIPS |
|
|
Image Classification (Q)
|
99% |
11969
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15850
256.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18451
299.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15262
248.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
198505
231.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
532400
621.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
181913
213.1 IPS |
|
|
Object Detection (SP)
|
100% |
12068
957.2 IPS |
|
|
Object Detection (HP)
|
99% |
15927
1.26 KIPS |
|
|
Object Detection (Q)
|
87% |
11204
899.8 IPS |
|
|
Face Detection (SP)
|
100% |
35470
421.5 IPS |
|
|
Face Detection (HP)
|
100% |
41733
495.9 IPS |
|
|
Face Detection (Q)
|
97% |
32927
392.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
78737
606.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
111824
861.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
66016
529.0 IPS |
|
|
Style Transfer (SP)
|
100% |
371720
477.9 IPS |
|
|
Style Transfer (HP)
|
100% |
607325
780.7 IPS |
|
|
Style Transfer (Q)
|
98% |
328788
424.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47872
1.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72091
2.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38726
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
4568
6.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4714
6.29 KIPS |
|
|
Text Classification (Q)
|
97% |
3211
4.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4583
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4500
77.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2938
55.1 IPS |
