ASRock B760M Pro RS
Geekbench AI Score
5844
Single Precision Score
5772
Half Precision Score
14867
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 24 2025 12:49 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4396
817.6 IPS |
|
|
Image Classification (HP)
|
100% |
4348
808.6 IPS |
|
|
Image Classification (Q)
|
100% |
9155
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4899
79.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4064
65.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8839
143.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7607
8.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
6686
7.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
29306
34.3 IPS |
|
|
Object Detection (SP)
|
100% |
3221
255.5 IPS |
|
|
Object Detection (HP)
|
100% |
3351
265.8 IPS |
|
|
Object Detection (Q)
|
88% |
9843
789.0 IPS |
|
|
Face Detection (SP)
|
100% |
6493
77.2 IPS |
|
|
Face Detection (HP)
|
100% |
6403
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
21946
260.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8027
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8029
61.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
24963
194.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15454
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18315
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
87644
113.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5361
198.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5392
199.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16393
607.1 IPS |
|
|
Text Classification (SP)
|
100% |
3824
5.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3838
5.12 KIPS |
|
|
Text Classification (Q)
|
92% |
5292
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5337
91.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5321
91.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5428
93.5 IPS |
