JGINYUE B650I Night Devil
Geekbench AI Score
31434
Single Precision Score
42168
Half Precision Score
26471
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BLACKO |
| Upload Date | April 08 2025 04:11 PM |
| Views | 6 |
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% |
14623
2.72 KIPS |
|
|
Image Classification (HP)
|
100% |
15610
2.90 KIPS |
|
|
Image Classification (Q)
|
99% |
13100
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16525
267.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18673
302.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15762
256.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
199732
233.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
554982
647.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
182133
213.3 IPS |
|
|
Object Detection (SP)
|
100% |
12834
1.02 KIPS |
|
|
Object Detection (HP)
|
99% |
16779
1.33 KIPS |
|
|
Object Detection (Q)
|
87% |
11825
949.7 IPS |
|
|
Face Detection (SP)
|
100% |
36943
439.0 IPS |
|
|
Face Detection (HP)
|
100% |
42245
502.0 IPS |
|
|
Face Detection (Q)
|
97% |
34098
406.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
82802
637.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
119489
920.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
68695
550.5 IPS |
|
|
Style Transfer (SP)
|
100% |
376349
483.8 IPS |
|
|
Style Transfer (HP)
|
100% |
637408
819.4 IPS |
|
|
Style Transfer (Q)
|
98% |
340504
439.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51895
1.92 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79492
2.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41608
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
5488
7.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5498
7.34 KIPS |
|
|
Text Classification (Q)
|
97% |
3709
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4638
79.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4658
80.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3087
57.9 IPS |
