DTEN Bar_DCR200
Geekbench ML Score
250
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 06:48 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% |
116
21.6 IPS |
|
|
Image Classification (I8)
|
97% |
262
49.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
150
2.50 IPS |
|
|
Image Segmentation (F16)
|
100% |
150
2.50 IPS |
|
|
Image Segmentation (I8)
|
98% |
279
4.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
197
0.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
197
0.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
757
0.92 IPS |
|
|
Object Detection (F32)
|
100% |
120
8.99 IPS |
|
|
Object Detection (F16)
|
100% |
120
8.98 IPS |
|
|
Object Detection (I8)
|
61% |
296
22.1 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% |
242
1.87 IPS |
|
|
Depth Estimation (F16)
|
100% |
241
1.87 IPS |
|
|
Depth Estimation (I8)
|
95% |
649
5.03 IPS |
|
|
Style Transfer (F32)
|
100% |
396
0.52 IPS |
|
|
Style Transfer (F16)
|
100% |
396
0.52 IPS |
|
|
Style Transfer (I8)
|
98% |
1192
1.57 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
125
4.45 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
125
4.47 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
458
16.4 IPS |
|
|
Text Classification (F32)
|
100% |
155
222.9 IPS |
|
|
Text Classification (F16)
|
100% |
155
223.2 IPS |
|
|
Text Classification (I8)
|
92% |
255
366.3 IPS |
|
|
Machine Translation (F32)
|
100% |
278
5.12 IPS |
|
|
Machine Translation (F16)
|
100% |
281
5.17 IPS |
|
|
Machine Translation (I8)
|
64% |
271
4.99 IPS |
