ASRock B760M Pro RS
Geekbench AI Score
4981
Single Precision Score
1651
Half Precision Score
8036
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 01 2025 05:59 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% |
4219
784.7 IPS |
|
|
Image Classification (HP)
|
100% |
620
115.3 IPS |
|
|
Image Classification (Q)
|
99% |
7383
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2213
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4177
67.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8719
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
3912
4.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
27883
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
3594
285.1 IPS |
|
|
Object Detection (HP)
|
100% |
770
61.0 IPS |
|
|
Object Detection (Q)
|
86% |
7337
589.7 IPS |
|
|
Face Detection (SP)
|
100% |
10056
119.5 IPS |
|
|
Face Detection (HP)
|
100% |
1792
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
11763
140.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10940
84.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2092
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
16665
133.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20150
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10981
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22798
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3585
132.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2213
81.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5335
197.5 IPS |
|
|
Text Classification (SP)
|
100% |
1833
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
860
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1903
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2208
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
816
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3926
78.9 IPS |
