JGINYUE B650I Night Devil
Geekbench AI Score
4333
Single Precision Score
1657
Half Precision Score
8482
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | originaldudu |
| Upload Date | January 06 2025 12:47 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% |
3445
640.7 IPS |
|
|
Image Classification (HP)
|
100% |
532
98.9 IPS |
|
|
Image Classification (Q)
|
99% |
8302
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
753
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3950
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8314
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
6796
7.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
37498
44.0 IPS |
|
|
Object Detection (SP)
|
100% |
3891
308.6 IPS |
|
|
Object Detection (HP)
|
100% |
681
54.0 IPS |
|
|
Object Detection (Q)
|
86% |
9348
751.3 IPS |
|
|
Face Detection (SP)
|
100% |
6603
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
1455
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
12011
143.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8644
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2612
20.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
18778
149.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20484
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18477
23.8 IPS |
|
|
Style Transfer (Q)
|
98% |
32561
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2220
82.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2061
76.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3945
146.1 IPS |
|
|
Text Classification (SP)
|
100% |
1422
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1494
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2602
44.8 IPS |
|
|
Machine Translation (HP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3877
77.9 IPS |
