ASRock B760M Pro RS
Geekbench AI Score
5096
Single Precision Score
1652
Half Precision Score
7950
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 21 2025 01:54 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% |
4133
768.7 IPS |
|
|
Image Classification (HP)
|
100% |
633
117.6 IPS |
|
|
Image Classification (Q)
|
99% |
6896
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2222
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1262
20.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4163
67.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8993
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
3932
4.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
29604
34.7 IPS |
|
|
Object Detection (SP)
|
100% |
3619
287.1 IPS |
|
|
Object Detection (HP)
|
100% |
757
60.0 IPS |
|
|
Object Detection (Q)
|
86% |
7679
617.1 IPS |
|
|
Face Detection (SP)
|
100% |
9831
116.8 IPS |
|
|
Face Detection (HP)
|
100% |
1741
20.7 IPS |
|
|
Face Detection (Q)
|
97% |
11361
135.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10943
84.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2123
16.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
15158
121.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20178
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11049
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
23785
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3899
144.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2213
81.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4845
179.4 IPS |
|
|
Text Classification (SP)
|
100% |
1841
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
835
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1938
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2537
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4019
80.8 IPS |
