ASRock B760M Pro RS
Geekbench AI Score
4801
Single Precision Score
1602
Half Precision Score
7827
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 18 2025 03:46 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% |
4090
760.6 IPS |
|
|
Image Classification (HP)
|
100% |
600
111.6 IPS |
|
|
Image Classification (Q)
|
99% |
6831
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3775
61.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6853
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
3787
4.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
28692
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
3652
289.7 IPS |
|
|
Object Detection (HP)
|
100% |
749
59.4 IPS |
|
|
Object Detection (Q)
|
86% |
7386
593.6 IPS |
|
|
Face Detection (SP)
|
100% |
9947
118.2 IPS |
|
|
Face Detection (HP)
|
100% |
1836
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
11341
135.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11080
85.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2102
16.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
14400
114.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17101
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10992
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23066
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3698
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2189
80.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5488
203.2 IPS |
|
|
Text Classification (SP)
|
100% |
1825
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
794
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1946
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2366
40.8 IPS |
|
|
Machine Translation (HP)
|
100% |
801
13.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3928
78.9 IPS |
