ASUS B660M-A D4 + Intel Core i5-12500 + Asus GTX 1070 Ti ASUS System Product Name
Geekbench AI Score
2301
Single Precision Score
1205
Half Precision Score
5535
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | thanosk |
| Upload Date | September 22 2025 09:24 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B660M-A D4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1567
291.4 IPS |
|
|
Image Classification (HP)
|
100% |
488
90.7 IPS |
|
|
Image Classification (Q)
|
99% |
4577
853.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4857
79.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3158
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2687
3.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
13400
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1605
127.3 IPS |
|
|
Object Detection (HP)
|
100% |
600
47.6 IPS |
|
|
Object Detection (Q)
|
86% |
4433
356.3 IPS |
|
|
Face Detection (SP)
|
100% |
3650
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
1333
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
6558
78.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4150
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1687
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
10660
85.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7961
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6490
8.34 IPS |
|
|
Style Transfer (Q)
|
98% |
13960
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1578
58.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1323
48.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4907
181.7 IPS |
|
|
Text Classification (SP)
|
100% |
1357
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1472
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1760
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2903
58.3 IPS |
