ASRock B760M Pro RS
Geekbench AI Score
6848
Single Precision Score
6903
Half Precision Score
15124
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 30 2025 11:29 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% |
4489
834.9 IPS |
|
|
Image Classification (HP)
|
100% |
4510
838.8 IPS |
|
|
Image Classification (Q)
|
100% |
9414
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5687
92.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5738
93.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9591
155.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8063
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
7588
8.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
28048
32.9 IPS |
|
|
Object Detection (SP)
|
100% |
3956
313.8 IPS |
|
|
Object Detection (HP)
|
100% |
4012
318.2 IPS |
|
|
Object Detection (Q)
|
88% |
10053
805.8 IPS |
|
|
Face Detection (SP)
|
100% |
10923
129.8 IPS |
|
|
Face Detection (HP)
|
100% |
11230
133.4 IPS |
|
|
Face Detection (Q)
|
100% |
23321
277.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10332
79.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10461
80.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
26500
206.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22347
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22592
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
85252
109.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5231
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5310
196.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15910
589.2 IPS |
|
|
Text Classification (SP)
|
100% |
3779
5.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3916
5.23 KIPS |
|
|
Text Classification (Q)
|
92% |
5313
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5594
96.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5654
97.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5523
95.1 IPS |
