B660M PG Riptide
Geekbench AI Score
21185
Single Precision Score
23644
Half Precision Score
15190
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | tomekmak |
| Upload Date | June 17 2025 11:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B660M PG Riptide |
| Motherboard | ASRock B660M PG Riptide |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600KF |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9059
1.68 KIPS |
|
|
Image Classification (HP)
|
100% |
8443
1.57 KIPS |
|
|
Image Classification (Q)
|
100% |
7644
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14955
242.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11398
184.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10979
178.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
110311
128.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
181238
211.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
89265
104.6 IPS |
|
|
Object Detection (SP)
|
100% |
9720
771.0 IPS |
|
|
Object Detection (HP)
|
100% |
8485
673.0 IPS |
|
|
Object Detection (Q)
|
87% |
7780
624.8 IPS |
|
|
Face Detection (SP)
|
100% |
28121
334.1 IPS |
|
|
Face Detection (HP)
|
100% |
32665
388.1 IPS |
|
|
Face Detection (Q)
|
97% |
18594
221.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
48312
372.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
58734
452.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
35033
281.3 IPS |
|
|
Style Transfer (SP)
|
100% |
206426
265.4 IPS |
|
|
Style Transfer (HP)
|
100% |
265481
341.3 IPS |
|
|
Style Transfer (Q)
|
98% |
162599
209.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35233
1.30 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41560
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22894
847.7 IPS |
|
|
Text Classification (SP)
|
100% |
2497
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3264
4.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1787
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5082
87.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5342
92.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2591
48.6 IPS |
