ASRock B650M-HDV/M.2
Geekbench AI Score
4080
Single Precision Score
1781
Half Precision Score
6424
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 16 2025 05:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7500F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASRock B650M-HDV/M.2 |
| Motherboard | ASRock B650M-HDV/M.2 |
| Power Plan | AMD Ryzen [Zen4] Ultimate HighPower 11-v5 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3612
671.8 IPS |
|
|
Image Classification (HP)
|
100% |
681
126.6 IPS |
|
|
Image Classification (Q)
|
99% |
7621
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1781
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
940
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2569
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5657
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
4838
5.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
22330
26.2 IPS |
|
|
Object Detection (SP)
|
100% |
3145
249.5 IPS |
|
|
Object Detection (HP)
|
100% |
852
67.6 IPS |
|
|
Object Detection (Q)
|
86% |
6558
527.1 IPS |
|
|
Face Detection (SP)
|
100% |
5905
70.2 IPS |
|
|
Face Detection (HP)
|
100% |
1929
22.9 IPS |
|
|
Face Detection (Q)
|
97% |
9399
112.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7084
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2702
20.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
18187
145.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15666
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11062
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28821
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2948
108.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2546
94.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4404
163.1 IPS |
|
|
Text Classification (SP)
|
100% |
1938
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
892
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
517
692.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2984
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3723
74.8 IPS |
