ASRock B760M Pro RS
Geekbench AI Score
5016
Single Precision Score
1651
Half Precision Score
8141
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 02:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
4166
774.7 IPS |
|
|
Image Classification (HP)
|
100% |
619
115.0 IPS |
|
|
Image Classification (Q)
|
99% |
7112
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2179
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4165
67.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9046
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
3866
4.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
28687
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
3575
283.5 IPS |
|
|
Object Detection (HP)
|
100% |
775
61.4 IPS |
|
|
Object Detection (Q)
|
86% |
7528
605.0 IPS |
|
|
Face Detection (SP)
|
100% |
9692
115.2 IPS |
|
|
Face Detection (HP)
|
100% |
1943
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
11736
139.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11326
87.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2020
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
17944
143.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20246
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11042
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
23769
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3334
123.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2180
80.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5349
198.1 IPS |
|
|
Text Classification (SP)
|
100% |
1922
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
891
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1923
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2416
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3884
78.0 IPS |
