B660M PG Riptide
Geekbench AI Score
3544
Single Precision Score
1480
Half Precision Score
6362
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tomekmak |
| Upload Date | June 17 2025 10:58 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12600KF |
| 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% |
2667
496.0 IPS |
|
|
Image Classification (HP)
|
100% |
547
101.7 IPS |
|
|
Image Classification (Q)
|
99% |
5851
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1670
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
939
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3143
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5665
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3959
4.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
19728
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
2595
205.8 IPS |
|
|
Object Detection (HP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (Q)
|
86% |
5891
473.4 IPS |
|
|
Face Detection (SP)
|
100% |
5799
68.9 IPS |
|
|
Face Detection (HP)
|
100% |
1644
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
8617
102.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7268
56.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2087
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
13774
109.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13728
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9535
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
19978
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2526
93.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1833
67.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4164
154.2 IPS |
|
|
Text Classification (SP)
|
100% |
1580
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1653
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2069
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3118
62.6 IPS |
