JGINYUE B650I Night Devil
Geekbench AI Score
31064
Single Precision Score
42126
Half Precision Score
26275
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BLACKO |
| Upload Date | April 09 2025 03:28 AM |
| Views | 2 |
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% |
14278
2.66 KIPS |
|
|
Image Classification (HP)
|
100% |
15168
2.82 KIPS |
|
|
Image Classification (Q)
|
99% |
12749
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16335
264.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18590
301.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15756
256.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
201626
235.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
558029
651.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
181566
212.7 IPS |
|
|
Object Detection (SP)
|
100% |
12576
997.5 IPS |
|
|
Object Detection (HP)
|
99% |
16860
1.34 KIPS |
|
|
Object Detection (Q)
|
87% |
12828
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
36702
436.1 IPS |
|
|
Face Detection (HP)
|
100% |
42111
500.4 IPS |
|
|
Face Detection (Q)
|
97% |
33741
402.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
81403
627.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
118114
910.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
67647
542.1 IPS |
|
|
Style Transfer (SP)
|
100% |
376900
484.5 IPS |
|
|
Style Transfer (HP)
|
100% |
649581
835.0 IPS |
|
|
Style Transfer (Q)
|
98% |
338208
436.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49979
1.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79311
2.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40686
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
5458
7.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5671
7.57 KIPS |
|
|
Text Classification (Q)
|
97% |
3630
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4607
79.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4566
78.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2941
55.2 IPS |
