ASRock B650M Pro RS
Geekbench AI Score
3283
Single Precision Score
1489
Half Precision Score
6591
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 21 2024 04:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700F 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650M Pro RS |
| Motherboard | ASRock B650M Pro RS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700F 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2529
470.4 IPS |
|
|
Image Classification (HP)
|
100% |
544
101.2 IPS |
|
|
Image Classification (Q)
|
99% |
7614
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
713
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3414
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5101
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
4439
5.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
21633
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
2396
190.0 IPS |
|
|
Object Detection (HP)
|
100% |
708
56.2 IPS |
|
|
Object Detection (Q)
|
86% |
6757
543.0 IPS |
|
|
Face Detection (SP)
|
100% |
5260
62.5 IPS |
|
|
Face Detection (HP)
|
100% |
1560
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
10569
126.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6705
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2312
17.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
7738
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12211
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11097
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26572
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2114
78.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2053
75.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3590
132.9 IPS |
|
|
Text Classification (SP)
|
100% |
1543
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
719
959.1 IPS |
|
|
Text Classification (Q)
|
97% |
1767
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2185
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
745
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2958
59.4 IPS |
