Laptop - Acer Aspire 5737Z Acer Aspire 5737Z
Geekbench AI Score
50
Single Precision Score
49
Half Precision Score
76
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | moonlight0 |
| Upload Date | February 04 2025 08:23 PM |
| Views | 31 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium T4200 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Acer Aspire 5737Z |
| Motherboard | Acer KALA0 |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | Intel Pentium T4200 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 10 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
30
5.58 IPS |
|
|
Image Classification (HP)
|
100% |
23
4.20 IPS |
|
|
Image Classification (Q)
|
99% |
48
8.90 IPS |
|
|
Image Segmentation (SP)
|
100% |
28
0.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
31
0.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
53
0.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
59
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
81
0.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
113
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
27
2.12 IPS |
|
|
Object Detection (HP)
|
100% |
25
1.99 IPS |
|
|
Object Detection (Q)
|
86% |
47
3.74 IPS |
|
|
Face Detection (SP)
|
100% |
82
0.98 IPS |
|
|
Face Detection (HP)
|
100% |
58
0.68 IPS |
|
|
Face Detection (Q)
|
97% |
137
1.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
73
0.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
73
0.56 IPS |
|
|
Depth Estimation (Q)
|
78% |
119
0.95 IPS |
|
|
Style Transfer (SP)
|
100% |
160
0.21 IPS |
|
|
Style Transfer (HP)
|
100% |
218
0.28 IPS |
|
|
Style Transfer (Q)
|
98% |
244
0.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32
1.20 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42
1.53 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
60
2.20 IPS |
|
|
Text Classification (SP)
|
100% |
48
63.9 IPS |
|
|
Text Classification (HP)
|
100% |
36
48.4 IPS |
|
|
Text Classification (Q)
|
97% |
42
56.5 IPS |
|
|
Machine Translation (SP)
|
100% |
55
0.94 IPS |
|
|
Machine Translation (HP)
|
100% |
40
0.69 IPS |
|
|
Machine Translation (Q)
|
65% |
52
1.05 IPS |
