ASRock B660M Pro RS
Geekbench AI Score
3062
Single Precision Score
1302
Half Precision Score
5501
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 12:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B660M Pro RS |
| Motherboard | ASRock B660M Pro RS |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2517
468.2 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.8 IPS |
|
|
Image Classification (Q)
|
99% |
5204
970.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
947
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2873
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4502
5.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
3275
3.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
16112
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2185
173.3 IPS |
|
|
Object Detection (HP)
|
100% |
604
47.9 IPS |
|
|
Object Detection (Q)
|
86% |
5011
402.7 IPS |
|
|
Face Detection (SP)
|
100% |
5018
59.6 IPS |
|
|
Face Detection (HP)
|
100% |
1373
16.3 IPS |
|
|
Face Detection (Q)
|
97% |
7326
87.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6124
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1778
13.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11620
92.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11034
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8109
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16664
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2111
77.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1607
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3435
127.2 IPS |
|
|
Text Classification (SP)
|
100% |
1438
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
678
904.7 IPS |
|
|
Text Classification (Q)
|
97% |
1493
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1759
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
676
11.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2891
58.1 IPS |
