ASRock B760M Pro RS
Geekbench AI Score
4927
Single Precision Score
1633
Half Precision Score
8051
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 30 2025 10:41 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% |
3948
734.2 IPS |
|
|
Image Classification (HP)
|
100% |
642
119.3 IPS |
|
|
Image Classification (Q)
|
99% |
7053
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1125
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4123
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8753
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
3877
4.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
28450
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
3615
286.7 IPS |
|
|
Object Detection (HP)
|
100% |
769
61.0 IPS |
|
|
Object Detection (Q)
|
86% |
7279
585.0 IPS |
|
|
Face Detection (SP)
|
100% |
9721
115.5 IPS |
|
|
Face Detection (HP)
|
100% |
1841
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
11443
136.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10852
83.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2034
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
17334
138.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19850
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10866
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24341
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3772
139.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2195
81.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5095
188.7 IPS |
|
|
Text Classification (SP)
|
100% |
1645
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
849
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1946
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2427
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3971
79.8 IPS |
