ASRock B760M Pro RS
Geekbench AI Score
6665
Single Precision Score
6852
Half Precision Score
15475
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 16 2025 09:03 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% |
4456
828.7 IPS |
|
|
Image Classification (HP)
|
100% |
4475
832.2 IPS |
|
|
Image Classification (Q)
|
100% |
9389
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5664
91.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5759
93.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10529
170.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7142
8.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
7297
8.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
29540
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
4011
318.2 IPS |
|
|
Object Detection (HP)
|
100% |
4154
329.5 IPS |
|
|
Object Detection (Q)
|
88% |
10006
802.1 IPS |
|
|
Face Detection (SP)
|
100% |
10933
129.9 IPS |
|
|
Face Detection (HP)
|
100% |
11266
133.9 IPS |
|
|
Face Detection (Q)
|
100% |
23457
278.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10324
79.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9691
74.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
26848
208.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18345
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22874
29.4 IPS |
|
|
Style Transfer (Q)
|
98% |
87794
113.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5313
196.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5318
196.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16082
595.6 IPS |
|
|
Text Classification (SP)
|
100% |
3870
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3868
5.16 KIPS |
|
|
Text Classification (Q)
|
92% |
5349
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
5620
96.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5688
98.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5668
97.6 IPS |
