JGINYUE B650I Night Devil
Geekbench AI Score
4241
Single Precision Score
1626
Half Precision Score
8403
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | originaldudu |
| Upload Date | January 06 2025 12:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X |
| 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% |
3391
630.5 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.5 IPS |
|
|
Image Classification (Q)
|
99% |
8486
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2043
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3924
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8090
9.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
6202
7.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
33926
39.8 IPS |
|
|
Object Detection (SP)
|
100% |
3115
247.1 IPS |
|
|
Object Detection (HP)
|
100% |
697
55.2 IPS |
|
|
Object Detection (Q)
|
86% |
9258
744.0 IPS |
|
|
Face Detection (SP)
|
100% |
7082
84.2 IPS |
|
|
Face Detection (HP)
|
100% |
1412
16.8 IPS |
|
|
Face Detection (Q)
|
97% |
11932
142.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9100
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2505
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
18663
148.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17281
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17894
23.0 IPS |
|
|
Style Transfer (Q)
|
98% |
33138
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2347
86.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2098
77.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3878
143.6 IPS |
|
|
Text Classification (SP)
|
100% |
1483
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1509
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2785
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
749
12.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3889
78.1 IPS |
