JGINYUE B650I Night Devil
Geekbench AI Score
30865
Single Precision Score
41776
Half Precision Score
25970
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BLACKO |
| Upload Date | April 09 2025 03:36 PM |
| Views | 10 |
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% |
14378
2.67 KIPS |
|
|
Image Classification (HP)
|
100% |
15418
2.87 KIPS |
|
|
Image Classification (Q)
|
99% |
13011
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16185
262.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18028
292.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15554
252.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
199223
232.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
553931
646.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
183138
214.5 IPS |
|
|
Object Detection (SP)
|
100% |
12621
1.00 KIPS |
|
|
Object Detection (HP)
|
99% |
16839
1.34 KIPS |
|
|
Object Detection (Q)
|
87% |
11371
913.3 IPS |
|
|
Face Detection (SP)
|
100% |
37349
443.8 IPS |
|
|
Face Detection (HP)
|
100% |
42137
500.7 IPS |
|
|
Face Detection (Q)
|
97% |
33154
395.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
81173
625.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
118210
910.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
66210
530.6 IPS |
|
|
Style Transfer (SP)
|
100% |
364716
468.8 IPS |
|
|
Style Transfer (HP)
|
100% |
647106
831.9 IPS |
|
|
Style Transfer (Q)
|
98% |
339244
437.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50746
1.87 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79172
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40899
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
5494
7.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5479
7.31 KIPS |
|
|
Text Classification (Q)
|
97% |
3668
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4350
74.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4467
76.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2964
55.6 IPS |
