ASRock B760M Pro RS
Geekbench AI Score
6675
Single Precision Score
6923
Half Precision Score
15208
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 21 2025 02:42 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% |
4497
836.3 IPS |
|
|
Image Classification (HP)
|
100% |
4494
835.7 IPS |
|
|
Image Classification (Q)
|
100% |
9514
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5729
92.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5769
93.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10675
173.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8286
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
7269
8.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
22605
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
3973
315.1 IPS |
|
|
Object Detection (HP)
|
100% |
4036
320.1 IPS |
|
|
Object Detection (Q)
|
88% |
10358
830.4 IPS |
|
|
Face Detection (SP)
|
100% |
7295
86.7 IPS |
|
|
Face Detection (HP)
|
100% |
11687
138.9 IPS |
|
|
Face Detection (Q)
|
100% |
24164
287.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10830
83.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10575
81.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
26322
204.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23076
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23147
29.8 IPS |
|
|
Style Transfer (Q)
|
98% |
88711
114.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5449
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5486
202.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16638
616.2 IPS |
|
|
Text Classification (SP)
|
100% |
3876
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3847
5.13 KIPS |
|
|
Text Classification (Q)
|
92% |
5297
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5380
92.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5511
94.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5599
96.4 IPS |
