ASRock B760M Pro RS
Geekbench AI Score
5029
Single Precision Score
1603
Half Precision Score
8130
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 30 2025 10:43 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% |
4045
752.3 IPS |
|
|
Image Classification (HP)
|
100% |
575
106.9 IPS |
|
|
Image Classification (Q)
|
99% |
7032
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2230
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4123
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8717
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
3924
4.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
29862
35.0 IPS |
|
|
Object Detection (SP)
|
100% |
3665
290.7 IPS |
|
|
Object Detection (HP)
|
100% |
717
56.8 IPS |
|
|
Object Detection (Q)
|
86% |
7417
596.1 IPS |
|
|
Face Detection (SP)
|
100% |
9911
117.8 IPS |
|
|
Face Detection (HP)
|
100% |
1724
20.5 IPS |
|
|
Face Detection (Q)
|
97% |
11740
140.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10875
83.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2142
16.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17350
138.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19997
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11087
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
25009
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3634
134.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2164
79.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5192
192.3 IPS |
|
|
Text Classification (SP)
|
100% |
1839
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
811
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1854
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2496
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
862
14.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4009
80.6 IPS |
