ASRock B760M Pro RS
Geekbench AI Score
6555
Single Precision Score
6340
Half Precision Score
14677
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 18 2025 03:37 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% |
4405
819.2 IPS |
|
|
Image Classification (HP)
|
100% |
4486
834.3 IPS |
|
|
Image Classification (Q)
|
100% |
9547
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5692
92.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5147
83.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8447
136.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6113
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
7150
8.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
29697
34.8 IPS |
|
|
Object Detection (SP)
|
100% |
3944
312.9 IPS |
|
|
Object Detection (HP)
|
100% |
3988
316.3 IPS |
|
|
Object Detection (Q)
|
88% |
10366
831.0 IPS |
|
|
Face Detection (SP)
|
100% |
11098
131.9 IPS |
|
|
Face Detection (HP)
|
100% |
11432
135.8 IPS |
|
|
Face Detection (Q)
|
100% |
23603
280.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10549
81.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6629
51.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
25611
199.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18518
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18662
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
84826
109.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5299
195.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5211
192.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12630
467.7 IPS |
|
|
Text Classification (SP)
|
100% |
3902
5.21 KIPS |
|
|
Text Classification (HP)
|
100% |
3893
5.20 KIPS |
|
|
Text Classification (Q)
|
92% |
5292
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5408
93.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5555
95.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5452
93.9 IPS |
