ASRock B760M Pro RS
Geekbench AI Score
4989
Single Precision Score
1631
Half Precision Score
8229
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 18 2025 01:15 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% |
4093
761.2 IPS |
|
|
Image Classification (HP)
|
100% |
625
116.2 IPS |
|
|
Image Classification (Q)
|
99% |
7057
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4191
68.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9019
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
3877
4.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
29732
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
3621
287.2 IPS |
|
|
Object Detection (HP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (Q)
|
86% |
7389
593.9 IPS |
|
|
Face Detection (SP)
|
100% |
9482
112.7 IPS |
|
|
Face Detection (HP)
|
100% |
1834
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
11462
136.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11036
85.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2203
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
17466
139.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19690
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11023
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26215
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3581
132.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2128
78.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5398
199.9 IPS |
|
|
Text Classification (SP)
|
100% |
1857
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1936
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2404
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4000
80.4 IPS |
