Advantech Decapper Default string Default string Default string
Geekbench AI Score
280
Single Precision Score
206
Half Precision Score
471
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | tester_one |
| Upload Date | November 08 2025 01:35 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron G3900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Celeron G3900 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
173
32.1 IPS |
|
|
Image Classification (HP)
|
100% |
102
18.9 IPS |
|
|
Image Classification (Q)
|
96% |
335
62.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
140
2.28 IPS |
|
|
Image Segmentation (Q)
|
97% |
328
5.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
296
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
281
0.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
688
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
167
13.2 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.78 IPS |
|
|
Object Detection (Q)
|
58% |
245
26.7 IPS |
|
|
Face Detection (SP)
|
100% |
492
5.84 IPS |
|
|
Face Detection (HP)
|
100% |
283
3.37 IPS |
|
|
Face Detection (Q)
|
96% |
661
7.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
418
3.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
301
2.32 IPS |
|
|
Depth Estimation (Q)
|
78% |
743
5.91 IPS |
|
|
Style Transfer (SP)
|
100% |
804
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
807
1.04 IPS |
|
|
Style Transfer (Q)
|
87% |
1373
1.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
179
6.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
164
6.04 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
400
14.8 IPS |
|
|
Text Classification (SP)
|
100% |
219
292.0 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.2 IPS |
|
|
Text Classification (Q)
|
97% |
209
280.5 IPS |
|
|
Machine Translation (SP)
|
100% |
350
6.03 IPS |
|
|
Machine Translation (HP)
|
100% |
177
3.04 IPS |
|
|
Machine Translation (Q)
|
68% |
524
10.1 IPS |
