ASUS System Product Name
Geekbench AI Score
1255
Single Precision Score
633
Half Precision Score
2674
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | QueenLily9291 |
| Upload Date | August 24 2025 03:25 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790M-PLUS |
| 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% |
824
153.2 IPS |
|
|
Image Classification (HP)
|
100% |
243
45.1 IPS |
|
|
Image Classification (Q)
|
99% |
1923
358.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
531
8.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
344
5.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
2117
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1889
2.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1600
1.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
7013
8.22 IPS |
|
|
Object Detection (SP)
|
100% |
823
65.3 IPS |
|
|
Object Detection (HP)
|
100% |
332
26.3 IPS |
|
|
Object Detection (Q)
|
86% |
2142
172.1 IPS |
|
|
Face Detection (SP)
|
100% |
2579
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
731
8.68 IPS |
|
|
Face Detection (Q)
|
97% |
3389
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2306
17.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
926
7.14 IPS |
|
|
Depth Estimation (Q)
|
78% |
5478
43.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4858
6.24 IPS |
|
|
Style Transfer (HP)
|
100% |
3855
4.96 IPS |
|
|
Style Transfer (Q)
|
98% |
9909
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
883
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
747
27.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1913
70.8 IPS |
|
|
Text Classification (SP)
|
100% |
645
860.5 IPS |
|
|
Text Classification (HP)
|
100% |
340
453.6 IPS |
|
|
Text Classification (Q)
|
97% |
641
858.9 IPS |
|
|
Machine Translation (SP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (Q)
|
65% |
1355
27.2 IPS |
