ASRock B760M Pro RS
Geekbench AI Score
6697
Single Precision Score
6928
Half Precision Score
15141
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 29 2025 04:20 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% |
4413
820.7 IPS |
|
|
Image Classification (HP)
|
100% |
4469
831.1 IPS |
|
|
Image Classification (Q)
|
100% |
9294
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5632
91.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5748
93.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9871
160.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7951
9.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
7166
8.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
28847
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
3897
309.1 IPS |
|
|
Object Detection (HP)
|
100% |
3992
316.7 IPS |
|
|
Object Detection (Q)
|
88% |
10169
815.2 IPS |
|
|
Face Detection (SP)
|
100% |
11270
133.9 IPS |
|
|
Face Detection (HP)
|
100% |
11543
137.2 IPS |
|
|
Face Detection (Q)
|
100% |
23899
284.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10263
79.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10467
80.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
25937
201.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18526
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24804
31.9 IPS |
|
|
Style Transfer (Q)
|
98% |
84326
108.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5221
192.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5490
202.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16107
596.5 IPS |
|
|
Text Classification (SP)
|
100% |
3890
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3845
5.13 KIPS |
|
|
Text Classification (Q)
|
92% |
5169
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5421
93.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5484
94.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5410
93.2 IPS |
