ASRock B760M Pro RS
Geekbench AI Score
6624
Single Precision Score
6883
Half Precision Score
15437
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 30 2025 10:33 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% |
4431
824.0 IPS |
|
|
Image Classification (HP)
|
100% |
4481
833.3 IPS |
|
|
Image Classification (Q)
|
100% |
9460
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5698
92.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5745
93.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10512
170.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7966
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
7144
8.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
29795
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
3893
308.8 IPS |
|
|
Object Detection (HP)
|
100% |
4007
317.9 IPS |
|
|
Object Detection (Q)
|
88% |
10273
823.5 IPS |
|
|
Face Detection (SP)
|
100% |
7295
86.7 IPS |
|
|
Face Detection (HP)
|
100% |
11300
134.3 IPS |
|
|
Face Detection (Q)
|
100% |
23168
275.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10362
79.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10429
80.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
26045
202.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23348
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23646
30.4 IPS |
|
|
Style Transfer (Q)
|
98% |
87931
113.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5496
202.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5492
202.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16447
609.1 IPS |
|
|
Text Classification (SP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3832
5.11 KIPS |
|
|
Text Classification (Q)
|
92% |
5252
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5502
94.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5523
95.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5511
94.9 IPS |
