ASRock B760M Pro RS
Geekbench AI Score
4962
Single Precision Score
1630
Half Precision Score
8136
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 06:07 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% |
3883
722.1 IPS |
|
|
Image Classification (HP)
|
100% |
636
118.2 IPS |
|
|
Image Classification (Q)
|
99% |
7783
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4147
67.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9155
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
4102
4.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
28723
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
3712
294.4 IPS |
|
|
Object Detection (HP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (Q)
|
86% |
7260
583.4 IPS |
|
|
Face Detection (SP)
|
100% |
10073
119.7 IPS |
|
|
Face Detection (HP)
|
100% |
1777
21.1 IPS |
|
|
Face Detection (Q)
|
97% |
11392
135.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10831
83.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2107
16.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
16881
134.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19856
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10700
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
23907
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3393
125.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2037
75.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5235
193.8 IPS |
|
|
Text Classification (SP)
|
100% |
1811
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
890
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1941
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2329
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4043
81.2 IPS |
