ASUSTeK Computer INC. VX6
Geekbench AI Score
20
Single Precision Score
22
Half Precision Score
38
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | kot-ubitsa |
| Upload Date | February 18 2025 07:43 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Atom D525 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUSTeK Computer INC. VX6 |
| Motherboard | ASUSTeK Computer INC. VX6 |
| CPU Information | |
|---|---|
| Name | Intel Atom D525 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 28 Stepping 10 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12
2.14 IPS |
|
|
Image Classification (HP)
|
100% |
11
2.06 IPS |
|
|
Image Classification (Q)
|
99% |
23
4.21 IPS |
|
|
Image Segmentation (SP)
|
100% |
13
0.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
16
0.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
24
0.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
20
0.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
29
0.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
50
0.06 IPS |
|
|
Object Detection (SP)
|
100% |
11
0.89 IPS |
|
|
Object Detection (HP)
|
100% |
12
0.95 IPS |
|
|
Object Detection (Q)
|
86% |
22
1.78 IPS |
|
|
Face Detection (SP)
|
100% |
36
0.43 IPS |
|
|
Face Detection (HP)
|
100% |
33
0.39 IPS |
|
|
Face Detection (Q)
|
97% |
73
0.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
29
0.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
33
0.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
62
0.50 IPS |
|
|
Style Transfer (SP)
|
100% |
56
0.07 IPS |
|
|
Style Transfer (HP)
|
100% |
82
0.11 IPS |
|
|
Style Transfer (Q)
|
98% |
139
0.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13
0.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18
0.67 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31
1.13 IPS |
|
|
Text Classification (SP)
|
100% |
23
30.4 IPS |
|
|
Text Classification (HP)
|
100% |
17
22.3 IPS |
|
|
Text Classification (Q)
|
97% |
21
28.1 IPS |
|
|
Machine Translation (SP)
|
100% |
25
0.43 IPS |
|
|
Machine Translation (HP)
|
100% |
21
0.37 IPS |
|
|
Machine Translation (Q)
|
65% |
29
0.59 IPS |
