JGINYUE B650I Night Devil
Geekbench AI Score
29203
Single Precision Score
39004
Half Precision Score
24310
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BLACKO |
| Upload Date | April 09 2025 12:24 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% |
13014
2.42 KIPS |
|
|
Image Classification (HP)
|
100% |
13654
2.54 KIPS |
|
|
Image Classification (Q)
|
99% |
11781
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15930
258.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18118
293.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15051
244.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
186850
218.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
537931
627.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
156770
183.6 IPS |
|
|
Object Detection (SP)
|
100% |
11129
882.7 IPS |
|
|
Object Detection (HP)
|
99% |
16200
1.28 KIPS |
|
|
Object Detection (Q)
|
87% |
11098
891.3 IPS |
|
|
Face Detection (SP)
|
100% |
36853
437.9 IPS |
|
|
Face Detection (HP)
|
100% |
41973
498.7 IPS |
|
|
Face Detection (Q)
|
97% |
32790
391.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
79119
609.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
110257
849.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
66707
534.6 IPS |
|
|
Style Transfer (SP)
|
100% |
374400
481.3 IPS |
|
|
Style Transfer (HP)
|
100% |
614168
789.5 IPS |
|
|
Style Transfer (Q)
|
98% |
331088
426.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47877
1.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75248
2.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38849
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
4569
6.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3972
5.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2977
3.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4383
75.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4450
76.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2790
52.3 IPS |
