ASRock B650M Pro RS WiFi
Geekbench AI Score
5896
Single Precision Score
5893
Half Precision Score
15468
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 07:08 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% |
3820
710.5 IPS |
|
|
Image Classification (HP)
|
100% |
3814
709.3 IPS |
|
|
Image Classification (Q)
|
100% |
9973
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3508
56.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3422
55.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8822
143.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6895
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
6901
8.05 IPS |
|
|
Pose Estimation (Q)
|
98% |
26983
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
3681
292.0 IPS |
|
|
Object Detection (HP)
|
100% |
3745
297.0 IPS |
|
|
Object Detection (Q)
|
88% |
10520
843.3 IPS |
|
|
Face Detection (SP)
|
100% |
9643
114.6 IPS |
|
|
Face Detection (HP)
|
100% |
9633
114.5 IPS |
|
|
Face Detection (Q)
|
100% |
26874
319.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9203
70.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9174
70.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
27722
215.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19187
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19267
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
71746
92.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4402
162.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4432
163.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14521
537.8 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
3364
4.49 KIPS |
|
|
Text Classification (Q)
|
92% |
5543
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5822
100.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5907
101.8 IPS |
|
|
Machine Translation (Q)
|
100% |
7301
125.8 IPS |
