JGINYUE B650I Night Devil
Geekbench AI Score
29461
Single Precision Score
39187
Half Precision Score
24778
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BLACKO |
| Upload Date | April 09 2025 12:26 AM |
| Views | 5 |
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% |
13205
2.46 KIPS |
|
|
Image Classification (HP)
|
100% |
13706
2.55 KIPS |
|
|
Image Classification (Q)
|
99% |
11701
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15935
258.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18458
299.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15550
252.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
198037
231.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
537863
627.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
181384
212.5 IPS |
|
|
Object Detection (SP)
|
100% |
12526
993.6 IPS |
|
|
Object Detection (HP)
|
99% |
16656
1.32 KIPS |
|
|
Object Detection (Q)
|
87% |
10820
869.0 IPS |
|
|
Face Detection (SP)
|
100% |
35838
425.8 IPS |
|
|
Face Detection (HP)
|
100% |
40931
486.3 IPS |
|
|
Face Detection (Q)
|
97% |
33148
395.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
82452
635.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
111147
856.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
67351
539.7 IPS |
|
|
Style Transfer (SP)
|
100% |
366736
471.4 IPS |
|
|
Style Transfer (HP)
|
100% |
610428
784.7 IPS |
|
|
Style Transfer (Q)
|
98% |
338826
436.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48402
1.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74860
2.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39465
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
4043
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
4145
5.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2772
3.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4451
76.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4373
75.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2952
55.4 IPS |
