ASUS System Product Name
Geekbench AI Score
2515
Single Precision Score
1223
Half Precision Score
5011
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 15 2025 01:49 PM |
| Views | 2 |
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. TUF GAMING B660M-E D4 |
| Power Plan | Ausbalanciert |
| 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% |
1960
364.6 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.4 IPS |
|
|
Image Classification (Q)
|
99% |
5019
936.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2570
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3630
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
3060
3.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
14466
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1742
138.2 IPS |
|
|
Object Detection (HP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (Q)
|
86% |
4337
348.5 IPS |
|
|
Face Detection (SP)
|
100% |
3645
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
1392
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
6426
76.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4942
38.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1737
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11127
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8949
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6793
8.73 IPS |
|
|
Style Transfer (Q)
|
98% |
14137
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1833
67.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1356
50.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3258
120.6 IPS |
|
|
Text Classification (SP)
|
100% |
1379
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
723
965.0 IPS |
|
|
Text Classification (Q)
|
97% |
1552
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1572
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2417
48.6 IPS |
