ASRock B760M Pro RS
Geekbench AI Score
6595
Single Precision Score
6538
Half Precision Score
15033
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 30 2025 10:35 AM |
| 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% |
4330
805.2 IPS |
|
|
Image Classification (HP)
|
100% |
4433
824.4 IPS |
|
|
Image Classification (Q)
|
100% |
9392
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5678
92.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5747
93.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10415
168.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7900
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
6960
8.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
23053
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
3912
310.3 IPS |
|
|
Object Detection (HP)
|
100% |
3932
311.9 IPS |
|
|
Object Detection (Q)
|
88% |
10263
822.7 IPS |
|
|
Face Detection (SP)
|
100% |
7512
89.3 IPS |
|
|
Face Detection (HP)
|
100% |
7297
86.7 IPS |
|
|
Face Detection (Q)
|
100% |
23639
280.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10226
78.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10357
79.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
25823
200.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22971
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23387
30.1 IPS |
|
|
Style Transfer (Q)
|
98% |
88500
114.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5450
201.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5501
203.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16113
596.7 IPS |
|
|
Text Classification (SP)
|
100% |
3861
5.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3773
5.04 KIPS |
|
|
Text Classification (Q)
|
92% |
5298
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5522
95.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5582
96.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5523
95.1 IPS |
