ASRock B760M Pro RS
Geekbench AI Score
4981
Single Precision Score
1629
Half Precision Score
8093
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 18 2025 03:58 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% |
4032
749.8 IPS |
|
|
Image Classification (HP)
|
100% |
657
122.2 IPS |
|
|
Image Classification (Q)
|
99% |
7073
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4119
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9068
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
3890
4.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
29681
34.8 IPS |
|
|
Object Detection (SP)
|
100% |
3663
290.6 IPS |
|
|
Object Detection (HP)
|
100% |
756
59.9 IPS |
|
|
Object Detection (Q)
|
86% |
7390
593.9 IPS |
|
|
Face Detection (SP)
|
100% |
9914
117.8 IPS |
|
|
Face Detection (HP)
|
100% |
1800
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
11434
136.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10904
84.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2128
16.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
17551
140.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19926
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11059
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25309
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3658
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2089
77.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5132
190.0 IPS |
|
|
Text Classification (SP)
|
100% |
1805
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1928
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2273
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3756
75.5 IPS |
