ASRock B760M Pro RS
Geekbench AI Score
5061
Single Precision Score
1638
Half Precision Score
8114
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 10:52 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% |
3935
731.8 IPS |
|
|
Image Classification (HP)
|
100% |
649
120.6 IPS |
|
|
Image Classification (Q)
|
99% |
7452
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4154
67.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8962
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
3896
4.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
28629
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
3800
301.5 IPS |
|
|
Object Detection (HP)
|
100% |
755
59.9 IPS |
|
|
Object Detection (Q)
|
86% |
7436
597.6 IPS |
|
|
Face Detection (SP)
|
100% |
9831
116.8 IPS |
|
|
Face Detection (HP)
|
100% |
1833
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
11556
137.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11372
87.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2168
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
17419
139.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19993
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10974
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24679
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3815
140.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2116
78.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4980
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
1845
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1908
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2382
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
810
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3980
80.0 IPS |
