ASRock B760M Pro RS
Geekbench AI Score
5046
Single Precision Score
1630
Half Precision Score
8137
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 10:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B760M Pro RS |
| Motherboard | ASRock B760M Pro RS |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700F |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4084
759.6 IPS |
|
|
Image Classification (HP)
|
100% |
611
113.6 IPS |
|
|
Image Classification (Q)
|
99% |
6925
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2220
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4171
67.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9177
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
3877
4.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
29239
34.3 IPS |
|
|
Object Detection (SP)
|
100% |
3659
290.2 IPS |
|
|
Object Detection (HP)
|
100% |
752
59.6 IPS |
|
|
Object Detection (Q)
|
86% |
7537
605.7 IPS |
|
|
Face Detection (SP)
|
100% |
9562
113.6 IPS |
|
|
Face Detection (HP)
|
100% |
1796
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
11828
141.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10982
84.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2098
16.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
17977
143.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20391
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10919
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21928
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3523
130.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2057
76.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5626
208.3 IPS |
|
|
Text Classification (SP)
|
100% |
1921
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
899
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1941
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2428
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3929
79.0 IPS |
