Advantech Decapper Default string Default string Default string
Geekbench AI Score
258
Single Precision Score
170
Half Precision Score
218
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | tester_one |
| Upload Date | November 07 2025 08:56 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 510 |
| 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% |
140
26.1 IPS |
|
|
Image Classification (HP)
|
100% |
88
16.3 IPS |
|
|
Image Classification (Q)
|
100% |
134
24.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
191
3.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
125
2.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
164
2.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
370
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
222
0.26 IPS |
|
|
Pose Estimation (Q)
|
97% |
355
0.42 IPS |
|
|
Object Detection (SP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (HP)
|
100% |
97
7.72 IPS |
|
|
Object Detection (Q)
|
86% |
138
11.1 IPS |
|
|
Face Detection (SP)
|
100% |
331
3.93 IPS |
|
|
Face Detection (HP)
|
100% |
232
2.76 IPS |
|
|
Face Detection (Q)
|
97% |
285
3.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
443
3.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
286
2.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
394
3.15 IPS |
|
|
Style Transfer (SP)
|
100% |
851
1.09 IPS |
|
|
Style Transfer (HP)
|
100% |
624
0.80 IPS |
|
|
Style Transfer (Q)
|
98% |
783
1.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
219
8.09 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
137
5.06 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
196
7.25 IPS |
|
|
Text Classification (SP)
|
100% |
149
198.9 IPS |
|
|
Text Classification (HP)
|
100% |
100
133.9 IPS |
|
|
Text Classification (Q)
|
97% |
106
142.6 IPS |
|
|
Machine Translation (SP)
|
100% |
219
3.77 IPS |
|
|
Machine Translation (HP)
|
96% |
154
2.65 IPS |
|
|
Machine Translation (Q)
|
70% |
127
2.38 IPS |
