ASRock B760M Pro RS
Geekbench AI Score
5046
Single Precision Score
1647
Half Precision Score
8320
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 06:10 AM |
| Views | 3 |
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% |
4092
761.0 IPS |
|
|
Image Classification (HP)
|
100% |
632
117.5 IPS |
|
|
Image Classification (Q)
|
99% |
8326
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2213
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1246
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4177
67.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9217
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
3915
4.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
28753
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
3722
295.2 IPS |
|
|
Object Detection (HP)
|
100% |
777
61.7 IPS |
|
|
Object Detection (Q)
|
86% |
7574
608.7 IPS |
|
|
Face Detection (SP)
|
100% |
9867
117.2 IPS |
|
|
Face Detection (HP)
|
100% |
1693
20.1 IPS |
|
|
Face Detection (Q)
|
97% |
11719
139.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11200
86.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2088
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
17407
138.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20264
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10785
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24308
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3302
121.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2138
78.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5563
206.0 IPS |
|
|
Text Classification (SP)
|
100% |
1846
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
877
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1944
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2527
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3916
78.7 IPS |
