ASRock B760M Pro RS
Geekbench AI Score
4961
Single Precision Score
1639
Half Precision Score
8160
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 01 2025 05:57 PM |
| 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% |
4067
756.4 IPS |
|
|
Image Classification (HP)
|
100% |
650
120.9 IPS |
|
|
Image Classification (Q)
|
99% |
6989
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2203
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1189
19.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4128
67.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8882
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4019
4.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
28645
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
3652
289.7 IPS |
|
|
Object Detection (HP)
|
100% |
811
64.3 IPS |
|
|
Object Detection (Q)
|
86% |
7268
584.1 IPS |
|
|
Face Detection (SP)
|
100% |
9984
118.6 IPS |
|
|
Face Detection (HP)
|
100% |
1665
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
11452
136.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10947
84.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2122
16.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
17162
136.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19950
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10894
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26396
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3405
125.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2087
77.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5634
208.6 IPS |
|
|
Text Classification (SP)
|
100% |
1775
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
839
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1964
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2359
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3797
76.3 IPS |
