ASRock B650M-HDV/M.2
Geekbench AI Score
3505
Single Precision Score
1797
Half Precision Score
5607
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | xust- |
| Upload Date | September 25 2024 05:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASRock B650M-HDV/M.2 |
| Motherboard | ASRock B650M-HDV/M.2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
663
123.3 IPS |
|
|
Image Classification (Q)
|
99% |
5194
968.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
838
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3645
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6544
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
5514
6.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
22966
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
2503
198.5 IPS |
|
|
Object Detection (HP)
|
100% |
869
68.9 IPS |
|
|
Object Detection (Q)
|
88% |
2445
196.0 IPS |
|
|
Face Detection (SP)
|
100% |
3278
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
2089
24.8 IPS |
|
|
Face Detection (Q)
|
97% |
6256
74.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7602
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2794
21.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
6910
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16022
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13743
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29345
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2793
103.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2571
94.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3973
147.1 IPS |
|
|
Text Classification (SP)
|
100% |
2009
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
815
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1911
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2605
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
60% |
3000
66.9 IPS |
