JGINYUE B650I Night Devil
Geekbench AI Score
29755
Single Precision Score
40201
Half Precision Score
26091
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BLACKO |
| Upload Date | April 08 2025 04:03 PM |
| 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% |
13854
2.58 KIPS |
|
|
Image Classification (HP)
|
100% |
15111
2.81 KIPS |
|
|
Image Classification (Q)
|
99% |
13119
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13075
212.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14527
235.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15473
251.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
199040
232.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
548437
639.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
182915
214.3 IPS |
|
|
Object Detection (SP)
|
100% |
12449
987.5 IPS |
|
|
Object Detection (HP)
|
99% |
16317
1.29 KIPS |
|
|
Object Detection (Q)
|
87% |
11698
939.5 IPS |
|
|
Face Detection (SP)
|
100% |
36636
435.3 IPS |
|
|
Face Detection (HP)
|
100% |
42280
502.4 IPS |
|
|
Face Detection (Q)
|
97% |
34260
408.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
81798
630.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
117726
907.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
69682
558.4 IPS |
|
|
Style Transfer (SP)
|
100% |
369625
475.2 IPS |
|
|
Style Transfer (HP)
|
100% |
628067
807.4 IPS |
|
|
Style Transfer (Q)
|
98% |
338666
436.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48783
1.80 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74579
2.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41541
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
5045
6.73 KIPS |
|
|
Text Classification (HP)
|
100% |
5340
7.13 KIPS |
|
|
Text Classification (Q)
|
97% |
3415
4.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4447
76.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4508
77.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2935
55.0 IPS |
