ASRock B650M Pro RS
Geekbench AI Score
5481
Single Precision Score
2254
Half Precision Score
7288
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 01 2025 05:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASRock B650M Pro RS |
| Motherboard | ASRock B650M Pro RS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4500
836.9 IPS |
|
|
Image Classification (HP)
|
100% |
824
153.2 IPS |
|
|
Image Classification (Q)
|
99% |
9163
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2534
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1148
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3020
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7641
8.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
7134
8.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
29193
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
4365
346.2 IPS |
|
|
Object Detection (HP)
|
100% |
998
79.2 IPS |
|
|
Object Detection (Q)
|
86% |
6645
534.1 IPS |
|
|
Face Detection (SP)
|
100% |
10000
118.8 IPS |
|
|
Face Detection (HP)
|
100% |
2401
28.5 IPS |
|
|
Face Detection (Q)
|
97% |
10465
124.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11329
87.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3231
24.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
20997
167.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21394
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17604
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
35025
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3805
140.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3334
123.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4875
180.5 IPS |
|
|
Text Classification (SP)
|
100% |
2083
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1038
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
474
635.1 IPS |
|
|
Machine Translation (SP)
|
100% |
3351
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4429
89.0 IPS |
