ASRock B650M-HDV/M.2
Geekbench AI Score
4601
Single Precision Score
1956
Half Precision Score
6118
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 06:51 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-HDV/M.2 |
| Motherboard | ASRock B650M-HDV/M.2 |
| Power Plan | Gebalanceerd |
| 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 | 5.08 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4025
748.6 IPS |
|
|
Image Classification (HP)
|
100% |
595
110.6 IPS |
|
|
Image Classification (Q)
|
99% |
7909
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1129
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
778
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2844
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8469
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
6747
7.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
29304
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
3899
309.3 IPS |
|
|
Object Detection (HP)
|
100% |
970
76.9 IPS |
|
|
Object Detection (Q)
|
86% |
6257
502.8 IPS |
|
|
Face Detection (SP)
|
100% |
7318
86.9 IPS |
|
|
Face Detection (HP)
|
100% |
2115
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
11202
133.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11404
87.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3206
24.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
8130
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20521
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17613
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
33229
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3251
120.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3007
111.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4194
155.3 IPS |
|
|
Text Classification (SP)
|
100% |
1942
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
852
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
457
612.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2626
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3073
61.8 IPS |
