DTEN Bar_DCR200
Geekbench ML Score
249
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 09:46 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | DTEN Bar_DCR200 |
| Model ID | DTEN Bar_DCR200 |
| Motherboard | R1-003 |
| Governor | performance |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.35 GHz |
| Memory Information | |
|---|---|
| Size | 15.33 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
115
21.6 IPS |
|
|
Image Classification (F16)
|
100% |
115
21.6 IPS |
|
|
Image Classification (I8)
|
97% |
261
48.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
149
2.49 IPS |
|
|
Image Segmentation (F16)
|
100% |
150
2.50 IPS |
|
|
Image Segmentation (I8)
|
98% |
279
4.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
193
0.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
195
0.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
758
0.92 IPS |
|
|
Object Detection (F32)
|
100% |
120
8.95 IPS |
|
|
Object Detection (F16)
|
100% |
120
8.96 IPS |
|
|
Object Detection (I8)
|
61% |
294
21.9 IPS |
|
|
Face Detection (F32)
|
100% |
285
3.39 IPS |
|
|
Face Detection (F16)
|
100% |
285
3.39 IPS |
|
|
Face Detection (I8)
|
86% |
593
7.05 IPS |
|
|
Depth Estimation (F32)
|
100% |
239
1.86 IPS |
|
|
Depth Estimation (F16)
|
100% |
240
1.86 IPS |
|
|
Depth Estimation (I8)
|
95% |
647
5.02 IPS |
|
|
Style Transfer (F32)
|
100% |
395
0.52 IPS |
|
|
Style Transfer (F16)
|
100% |
395
0.52 IPS |
|
|
Style Transfer (I8)
|
98% |
1190
1.57 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
125
4.45 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
125
4.45 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
460
16.4 IPS |
|
|
Text Classification (F32)
|
100% |
156
223.6 IPS |
|
|
Text Classification (F16)
|
100% |
156
223.6 IPS |
|
|
Text Classification (I8)
|
92% |
256
367.8 IPS |
|
|
Machine Translation (F32)
|
100% |
277
5.10 IPS |
|
|
Machine Translation (F16)
|
100% |
280
5.16 IPS |
|
|
Machine Translation (I8)
|
64% |
266
4.90 IPS |
