ASRock B650M Pro RS
Geekbench AI Score
3375
Single Precision Score
1541
Half Precision Score
5767
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 05:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASRock B650M Pro RS |
| Motherboard | ASRock B650M Pro RS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2805
521.6 IPS |
|
|
Image Classification (HP)
|
100% |
569
105.9 IPS |
|
|
Image Classification (Q)
|
99% |
7341
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
760
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4431
72.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4944
5.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
4260
4.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
21240
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
2405
190.8 IPS |
|
|
Object Detection (HP)
|
100% |
723
57.3 IPS |
|
|
Object Detection (Q)
|
86% |
5333
428.6 IPS |
|
|
Face Detection (SP)
|
100% |
5391
64.1 IPS |
|
|
Face Detection (HP)
|
100% |
1646
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
9189
109.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6589
50.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2227
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
7257
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11780
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10867
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25802
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2053
75.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1968
72.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5914
219.0 IPS |
|
|
Text Classification (SP)
|
100% |
2013
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
809
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
409
548.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2177
37.5 IPS |
|
|
Machine Translation (HP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2657
53.4 IPS |
