JGINYUE B650I Night Devil
Geekbench AI Score
8062
Single Precision Score
8000
Half Precision Score
18867
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | originaldudu |
| Upload Date | January 06 2025 12:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | JGINYUE B650I Night Devil |
| Motherboard | JGINYUE B650I Night Devil |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4758
884.8 IPS |
|
|
Image Classification (HP)
|
100% |
4617
858.6 IPS |
|
|
Image Classification (Q)
|
100% |
10386
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5710
92.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5693
92.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14485
234.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12800
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12925
15.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
51051
59.8 IPS |
|
|
Object Detection (SP)
|
100% |
4879
387.0 IPS |
|
|
Object Detection (HP)
|
100% |
5149
408.5 IPS |
|
|
Object Detection (Q)
|
88% |
11790
945.1 IPS |
|
|
Face Detection (SP)
|
100% |
11843
140.7 IPS |
|
|
Face Detection (HP)
|
100% |
11426
135.8 IPS |
|
|
Face Detection (Q)
|
100% |
31591
375.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12874
99.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13003
100.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
35522
276.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33968
43.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33800
43.5 IPS |
|
|
Style Transfer (Q)
|
98% |
121121
156.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7074
261.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7076
261.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20875
773.1 IPS |
|
|
Text Classification (SP)
|
100% |
3751
5.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3560
4.75 KIPS |
|
|
Text Classification (Q)
|
92% |
4238
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4978
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4858
83.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5251
90.5 IPS |
