ASRock B650M PG Riptide
Geekbench AI Score
3759
Single Precision Score
1755
Half Precision Score
7931
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 08:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B650M PG Riptide |
| Motherboard | ASRock B650M PG Riptide |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3061
569.2 IPS |
|
|
Image Classification (HP)
|
100% |
714
132.8 IPS |
|
|
Image Classification (Q)
|
99% |
7203
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
962
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3672
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4909
5.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
4517
5.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
21074
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
2749
218.1 IPS |
|
|
Object Detection (HP)
|
100% |
876
69.5 IPS |
|
|
Object Detection (Q)
|
86% |
7156
575.1 IPS |
|
|
Face Detection (SP)
|
100% |
6238
74.1 IPS |
|
|
Face Detection (HP)
|
100% |
1962
23.3 IPS |
|
|
Face Detection (Q)
|
97% |
11457
136.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6999
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2557
19.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
15774
125.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13805
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11021
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27496
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2129
78.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2111
78.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4409
163.3 IPS |
|
|
Text Classification (SP)
|
100% |
1842
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
920
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2137
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2779
47.9 IPS |
|
|
Machine Translation (HP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (Q)
|
65% |
5273
106.0 IPS |
