ASRock B760M Pro RS
Geekbench AI Score
6918
Single Precision Score
6891
Half Precision Score
15425
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 19 2025 01:18 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% |
4415
821.0 IPS |
|
|
Image Classification (HP)
|
100% |
4484
833.8 IPS |
|
|
Image Classification (Q)
|
100% |
9522
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5671
91.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5757
93.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10624
172.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8020
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
7473
8.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
28993
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
4073
323.1 IPS |
|
|
Object Detection (HP)
|
100% |
4132
327.8 IPS |
|
|
Object Detection (Q)
|
88% |
10030
804.0 IPS |
|
|
Face Detection (SP)
|
100% |
11077
131.6 IPS |
|
|
Face Detection (HP)
|
100% |
11241
133.6 IPS |
|
|
Face Detection (Q)
|
100% |
23925
284.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10575
81.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10932
84.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
27198
211.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23804
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24739
31.8 IPS |
|
|
Style Transfer (Q)
|
98% |
85624
110.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5307
196.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4580
169.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16082
595.6 IPS |
|
|
Text Classification (SP)
|
100% |
3874
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3899
5.20 KIPS |
|
|
Text Classification (Q)
|
92% |
5280
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5358
92.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5584
96.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5481
94.4 IPS |
