ASRock B760M Pro RS
Geekbench AI Score
7006
Single Precision Score
6912
Half Precision Score
15456
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 09 2025 12:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
4486
834.3 IPS |
|
|
Image Classification (HP)
|
100% |
4479
833.0 IPS |
|
|
Image Classification (Q)
|
100% |
9460
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5710
92.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5764
93.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10559
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8128
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
6988
8.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
28394
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
4029
319.6 IPS |
|
|
Object Detection (HP)
|
100% |
3970
314.9 IPS |
|
|
Object Detection (Q)
|
88% |
10317
827.1 IPS |
|
|
Face Detection (SP)
|
100% |
11479
136.4 IPS |
|
|
Face Detection (HP)
|
100% |
11580
137.6 IPS |
|
|
Face Detection (Q)
|
100% |
24005
285.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10804
83.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10949
84.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
26968
209.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23955
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23454
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
86956
112.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5327
196.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5291
195.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15830
586.2 IPS |
|
|
Text Classification (SP)
|
100% |
3847
5.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3878
5.18 KIPS |
|
|
Text Classification (Q)
|
92% |
5345
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5579
96.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5702
98.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5585
96.2 IPS |
