ASRock B650M Pro RS WiFi
Geekbench AI Score
5780
Single Precision Score
5830
Half Precision Score
15491
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 07:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650M Pro RS WiFi |
| Motherboard | ASRock B650M Pro RS WiFi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3793
705.3 IPS |
|
|
Image Classification (HP)
|
100% |
3791
705.0 IPS |
|
|
Image Classification (Q)
|
100% |
9955
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3343
54.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3305
53.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8823
143.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6855
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
6902
8.05 IPS |
|
|
Pose Estimation (Q)
|
98% |
27012
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
3601
285.7 IPS |
|
|
Object Detection (HP)
|
100% |
3659
290.3 IPS |
|
|
Object Detection (Q)
|
88% |
10522
843.4 IPS |
|
|
Face Detection (SP)
|
100% |
9090
108.0 IPS |
|
|
Face Detection (HP)
|
100% |
9102
108.2 IPS |
|
|
Face Detection (Q)
|
100% |
26748
317.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9282
71.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9236
71.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
27685
215.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19146
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19254
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
71792
92.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4409
162.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4421
163.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14431
534.4 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (Q)
|
92% |
5440
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5462
94.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5954
102.6 IPS |
|
|
Machine Translation (Q)
|
100% |
7639
131.6 IPS |
