ASRock B650M PG Riptide
Geekbench AI Score
2033
Single Precision Score
2168
Half Precision Score
1673
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 08:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
692
128.7 IPS |
|
|
Image Classification (HP)
|
100% |
675
125.5 IPS |
|
|
Image Classification (Q)
|
100% |
691
128.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1197
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1043
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6732
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
11148
13.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
6075
7.12 IPS |
|
|
Object Detection (SP)
|
100% |
744
59.0 IPS |
|
|
Object Detection (HP)
|
100% |
700
55.5 IPS |
|
|
Object Detection (Q)
|
87% |
710
57.0 IPS |
|
|
Face Detection (SP)
|
100% |
2349
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
2320
27.6 IPS |
|
|
Face Detection (Q)
|
97% |
2188
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3957
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4682
36.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
3472
27.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11432
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16502
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
10109
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2851
105.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3798
140.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2173
80.5 IPS |
|
|
Text Classification (SP)
|
100% |
743
991.4 IPS |
|
|
Text Classification (HP)
|
100% |
791
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
520
697.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1297
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1241
21.4 IPS |
|
|
Machine Translation (Q)
|
70% |
637
12.0 IPS |
