ASRock B760M Pro RS
Geekbench AI Score
6298
Single Precision Score
6985
Half Precision Score
15445
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 11:13 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% |
4422
822.4 IPS |
|
|
Image Classification (HP)
|
100% |
4488
834.6 IPS |
|
|
Image Classification (Q)
|
100% |
9542
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5711
92.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5750
93.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10557
171.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8138
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
7279
8.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
28759
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
4019
318.8 IPS |
|
|
Object Detection (HP)
|
100% |
4215
334.4 IPS |
|
|
Object Detection (Q)
|
88% |
10040
804.8 IPS |
|
|
Face Detection (SP)
|
100% |
7092
84.3 IPS |
|
|
Face Detection (HP)
|
100% |
11208
133.2 IPS |
|
|
Face Detection (Q)
|
100% |
23844
283.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6559
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10971
84.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
27132
211.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21840
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24615
31.6 IPS |
|
|
Style Transfer (Q)
|
98% |
88324
113.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5505
203.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5420
200.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16218
600.6 IPS |
|
|
Text Classification (SP)
|
100% |
3892
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3821
5.10 KIPS |
|
|
Text Classification (Q)
|
92% |
5286
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5466
94.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5577
96.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5424
93.4 IPS |
