ASRock B760M Pro RS
Geekbench AI Score
6920
Single Precision Score
6707
Half Precision Score
15488
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 09 2025 01:08 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% |
4450
827.6 IPS |
|
|
Image Classification (HP)
|
100% |
4489
834.9 IPS |
|
|
Image Classification (Q)
|
100% |
9508
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5655
91.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5779
93.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10607
171.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7993
9.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
7300
8.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
30229
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
3909
310.1 IPS |
|
|
Object Detection (HP)
|
100% |
4026
319.4 IPS |
|
|
Object Detection (Q)
|
88% |
10302
825.8 IPS |
|
|
Face Detection (SP)
|
100% |
11475
136.3 IPS |
|
|
Face Detection (HP)
|
100% |
11471
136.3 IPS |
|
|
Face Detection (Q)
|
100% |
23646
281.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10392
80.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8142
62.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
26030
202.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23370
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23825
30.6 IPS |
|
|
Style Transfer (Q)
|
98% |
88177
113.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5474
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5447
201.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16452
609.3 IPS |
|
|
Text Classification (SP)
|
100% |
3891
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3814
5.09 KIPS |
|
|
Text Classification (Q)
|
92% |
5247
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5402
93.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5233
90.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5399
93.0 IPS |
