ASRock B660M Pro RS
Geekbench AI Score
2464
Single Precision Score
1281
Half Precision Score
5124
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | marvingnils |
| Upload Date | February 04 2025 11:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B660M Pro RS |
| Motherboard | ASRock B660M Pro RS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1511
281.0 IPS |
|
|
Image Classification (HP)
|
100% |
463
86.1 IPS |
|
|
Image Classification (Q)
|
99% |
4488
837.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1184
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2745
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3870
4.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3737
4.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
13976
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1972
156.4 IPS |
|
|
Object Detection (HP)
|
100% |
592
46.9 IPS |
|
|
Object Detection (Q)
|
86% |
4188
336.6 IPS |
|
|
Face Detection (SP)
|
100% |
3634
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
1647
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
6195
73.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4349
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1856
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11943
95.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9632
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6219
7.99 IPS |
|
|
Style Transfer (Q)
|
98% |
15550
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1531
56.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1316
48.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3349
124.0 IPS |
|
|
Text Classification (SP)
|
100% |
1271
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
858
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1577
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2044
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2851
57.3 IPS |
