JGINYUE B650I Night Devil
Geekbench AI Score
30924
Single Precision Score
41651
Half Precision Score
26403
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BLACKO |
| Upload Date | April 08 2025 07:53 PM |
| 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% |
14572
2.71 KIPS |
|
|
Image Classification (HP)
|
100% |
15386
2.86 KIPS |
|
|
Image Classification (Q)
|
99% |
12937
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16345
265.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18747
303.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15800
256.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
196180
228.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
560697
654.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
178365
208.9 IPS |
|
|
Object Detection (SP)
|
100% |
12619
1.00 KIPS |
|
|
Object Detection (HP)
|
99% |
16864
1.34 KIPS |
|
|
Object Detection (Q)
|
87% |
13470
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
37281
443.0 IPS |
|
|
Face Detection (HP)
|
100% |
42427
504.1 IPS |
|
|
Face Detection (Q)
|
97% |
34397
410.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
82888
638.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
120173
925.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
69214
554.7 IPS |
|
|
Style Transfer (SP)
|
100% |
366032
470.5 IPS |
|
|
Style Transfer (HP)
|
100% |
646896
831.6 IPS |
|
|
Style Transfer (Q)
|
98% |
338844
436.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50923
1.88 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79322
2.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41824
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
5142
6.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5030
6.71 KIPS |
|
|
Text Classification (Q)
|
97% |
3410
4.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4580
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4378
75.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2914
54.6 IPS |
