ASRock B760M Pro RS
Geekbench AI Score
5056
Single Precision Score
1642
Half Precision Score
8179
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 10:50 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% |
4124
767.0 IPS |
|
|
Image Classification (HP)
|
100% |
603
112.2 IPS |
|
|
Image Classification (Q)
|
99% |
7061
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2229
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4119
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8966
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
3921
4.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
29236
34.3 IPS |
|
|
Object Detection (SP)
|
100% |
3781
299.9 IPS |
|
|
Object Detection (HP)
|
100% |
732
58.1 IPS |
|
|
Object Detection (Q)
|
86% |
7512
603.7 IPS |
|
|
Face Detection (SP)
|
100% |
9959
118.3 IPS |
|
|
Face Detection (HP)
|
100% |
1860
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
11763
140.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10968
84.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1980
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
17123
136.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20102
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10943
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23816
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3411
125.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2106
77.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5537
205.0 IPS |
|
|
Text Classification (SP)
|
100% |
1828
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
860
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1948
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2562
44.1 IPS |
|
|
Machine Translation (HP)
|
100% |
881
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4054
81.5 IPS |
