ASRock B760M Pro RS
Geekbench AI Score
4888
Single Precision Score
1583
Half Precision Score
8040
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 09 2025 01:40 PM |
| 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% |
4070
756.9 IPS |
|
|
Image Classification (HP)
|
100% |
608
113.0 IPS |
|
|
Image Classification (Q)
|
99% |
7067
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2200
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1107
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4108
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8828
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
3889
4.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
27907
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
3546
281.3 IPS |
|
|
Object Detection (HP)
|
100% |
709
56.3 IPS |
|
|
Object Detection (Q)
|
86% |
7501
602.8 IPS |
|
|
Face Detection (SP)
|
100% |
9871
117.3 IPS |
|
|
Face Detection (HP)
|
100% |
1774
21.1 IPS |
|
|
Face Detection (Q)
|
97% |
11422
136.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10364
79.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1883
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
16897
134.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19985
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9914
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24598
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3274
120.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2196
81.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5027
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
1762
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
881
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1951
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2356
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
833
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3989
80.1 IPS |
