ASRock B650M Pro RS WiFi
Geekbench AI Score
5882
Single Precision Score
5872
Half Precision Score
15478
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 07:26 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% |
3777
702.4 IPS |
|
|
Image Classification (HP)
|
100% |
3786
704.0 IPS |
|
|
Image Classification (Q)
|
100% |
9923
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3421
55.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3409
55.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8652
140.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6876
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
6891
8.04 IPS |
|
|
Pose Estimation (Q)
|
98% |
26866
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
3695
293.1 IPS |
|
|
Object Detection (HP)
|
100% |
3729
295.8 IPS |
|
|
Object Detection (Q)
|
88% |
10483
840.4 IPS |
|
|
Face Detection (SP)
|
100% |
9692
115.2 IPS |
|
|
Face Detection (HP)
|
100% |
9308
110.6 IPS |
|
|
Face Detection (Q)
|
100% |
26228
311.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9190
70.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9262
71.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
27681
215.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19168
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19257
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
71928
92.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4388
162.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4408
162.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14647
542.4 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
3371
4.50 KIPS |
|
|
Text Classification (Q)
|
92% |
5559
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5899
101.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5961
102.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7677
132.2 IPS |
