ASUSTeK Computer Inc. K53U
Geekbench AI Score
38
Single Precision Score
24
Half Precision Score
43
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | guinea7pig |
| Upload Date | May 24 2025 08:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD E-450 |
| System Information | |
|---|---|
| Operating System | Kali GNU/Linux Rolling |
| Model | ASUSTeK Computer Inc. K53U |
| Motherboard | ASUSTeK Computer Inc. K53U |
| CPU Information | |
|---|---|
| Name | AMD E-450 |
| Topology | 1 Processor, 2 Cores |
| Identifier | AuthenticAMD Family 20 Model 2 Stepping 0 |
| Base Frequency | 1.65 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
21
3.83 IPS |
|
|
Image Classification (HP)
|
100% |
10
1.77 IPS |
|
|
Image Classification (Q)
|
97% |
25
4.67 IPS |
|
|
Image Segmentation (SP)
|
100% |
21
0.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
13
0.22 IPS |
|
|
Image Segmentation (Q)
|
99% |
30
0.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
46
0.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
38
0.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
52
0.06 IPS |
|
|
Object Detection (SP)
|
100% |
20
1.57 IPS |
|
|
Object Detection (HP)
|
100% |
11
0.89 IPS |
|
|
Object Detection (Q)
|
86% |
24
1.97 IPS |
|
|
Face Detection (SP)
|
100% |
59
0.70 IPS |
|
|
Face Detection (HP)
|
100% |
24
0.28 IPS |
|
|
Face Detection (Q)
|
97% |
87
1.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
61
0.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
36
0.28 IPS |
|
|
Depth Estimation (Q)
|
78% |
63
0.50 IPS |
|
|
Style Transfer (SP)
|
100% |
123
0.16 IPS |
|
|
Style Transfer (HP)
|
100% |
109
0.14 IPS |
|
|
Style Transfer (Q)
|
98% |
141
0.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27
1.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23
0.85 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32
1.19 IPS |
|
|
Text Classification (SP)
|
100% |
29
38.5 IPS |
|
|
Text Classification (HP)
|
100% |
21
27.4 IPS |
|
|
Text Classification (Q)
|
97% |
31
41.0 IPS |
|
|
Machine Translation (SP)
|
100% |
54
0.92 IPS |
|
|
Machine Translation (HP)
|
100% |
26
0.46 IPS |
|
|
Machine Translation (Q)
|
65% |
35
0.70 IPS |
