ASRock B760M Pro RS
Geekbench AI Score
6552
Single Precision Score
6415
Half Precision Score
15418
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 29 2025 04:13 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% |
4472
831.7 IPS |
|
|
Image Classification (HP)
|
100% |
4469
831.0 IPS |
|
|
Image Classification (Q)
|
100% |
9431
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5696
92.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5725
92.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10493
170.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8015
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
7142
8.33 IPS |
|
|
Pose Estimation (Q)
|
96% |
28399
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
4019
318.8 IPS |
|
|
Object Detection (HP)
|
100% |
3914
310.5 IPS |
|
|
Object Detection (Q)
|
88% |
10152
813.8 IPS |
|
|
Face Detection (SP)
|
100% |
11277
134.0 IPS |
|
|
Face Detection (HP)
|
100% |
7331
87.1 IPS |
|
|
Face Detection (Q)
|
100% |
23357
277.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10118
78.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8321
64.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
26983
209.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14406
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23934
30.8 IPS |
|
|
Style Transfer (Q)
|
98% |
87812
113.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5242
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5261
194.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16398
607.3 IPS |
|
|
Text Classification (SP)
|
100% |
3789
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3807
5.08 KIPS |
|
|
Text Classification (Q)
|
92% |
5270
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5443
93.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5649
97.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5565
95.9 IPS |
