ASRock B760M Pro RS
Geekbench AI Score
6950
Single Precision Score
6922
Half Precision Score
15150
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 21 2025 02:44 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% |
4480
833.1 IPS |
|
|
Image Classification (HP)
|
100% |
4489
834.8 IPS |
|
|
Image Classification (Q)
|
100% |
9398
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5664
91.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5674
92.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10504
170.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8103
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
7273
8.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
29841
35.0 IPS |
|
|
Object Detection (SP)
|
100% |
4081
323.7 IPS |
|
|
Object Detection (HP)
|
100% |
4002
317.5 IPS |
|
|
Object Detection (Q)
|
88% |
10396
833.4 IPS |
|
|
Face Detection (SP)
|
100% |
11427
135.8 IPS |
|
|
Face Detection (HP)
|
100% |
11672
138.7 IPS |
|
|
Face Detection (Q)
|
100% |
23732
282.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10784
83.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10903
84.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
27063
210.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23144
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23920
30.7 IPS |
|
|
Style Transfer (Q)
|
98% |
69050
89.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5309
196.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5276
194.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15732
582.6 IPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3776
5.04 KIPS |
|
|
Text Classification (Q)
|
92% |
5331
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5614
96.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5623
96.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5595
96.4 IPS |
