ASRock B760M Pro RS
Geekbench AI Score
6729
Single Precision Score
6643
Half Precision Score
15496
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 09 2025 01:31 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% |
4448
827.1 IPS |
|
|
Image Classification (HP)
|
100% |
4468
830.9 IPS |
|
|
Image Classification (Q)
|
100% |
9469
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5708
92.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5770
93.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10548
171.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7854
9.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
7143
8.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
28895
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
3867
306.7 IPS |
|
|
Object Detection (HP)
|
100% |
3883
308.0 IPS |
|
|
Object Detection (Q)
|
88% |
10351
829.7 IPS |
|
|
Face Detection (SP)
|
100% |
11515
136.8 IPS |
|
|
Face Detection (HP)
|
100% |
11505
136.7 IPS |
|
|
Face Detection (Q)
|
100% |
23535
279.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10260
79.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8296
63.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
27066
210.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18540
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24254
31.2 IPS |
|
|
Style Transfer (Q)
|
98% |
85916
110.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5276
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4617
170.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16031
593.7 IPS |
|
|
Text Classification (SP)
|
100% |
3832
5.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3862
5.16 KIPS |
|
|
Text Classification (Q)
|
92% |
5362
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5575
96.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5677
97.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5681
97.9 IPS |
