ASRock B760M Pro RS
Geekbench AI Score
4919
Single Precision Score
1644
Half Precision Score
8267
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 09 2025 01:35 PM |
| Views | 3 |
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% |
4049
753.0 IPS |
|
|
Image Classification (HP)
|
100% |
603
112.1 IPS |
|
|
Image Classification (Q)
|
99% |
7029
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4147
67.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8867
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
3908
4.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
28662
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
3656
290.0 IPS |
|
|
Object Detection (HP)
|
100% |
765
60.7 IPS |
|
|
Object Detection (Q)
|
86% |
7582
609.3 IPS |
|
|
Face Detection (SP)
|
100% |
9766
116.0 IPS |
|
|
Face Detection (HP)
|
100% |
1876
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
11734
139.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10917
84.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2203
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
17734
141.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20306
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10941
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
26415
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3444
127.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2169
80.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5601
207.4 IPS |
|
|
Text Classification (SP)
|
100% |
1639
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1917
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2391
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3992
80.2 IPS |
