DTEN Bar_DCR200
Geekbench ML Score
485
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 09:34 AM |
| Views | 3 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
326
60.9 IPS |
|
|
Image Classification (F16)
|
100% |
483
90.3 IPS |
|
|
Image Classification (I8)
|
97% |
465
87.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
461
7.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
624
10.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
608
10.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
317
0.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
433
0.52 IPS |
|
|
Pose Estimation (I8)
|
100% |
432
0.52 IPS |
|
|
Object Detection (F32)
|
100% |
261
19.5 IPS |
|
|
Object Detection (F16)
|
100% |
382
28.5 IPS |
|
|
Object Detection (I8)
|
62% |
382
28.5 IPS |
|
|
Face Detection (F32)
|
100% |
994
11.8 IPS |
|
|
Face Detection (F16)
|
98% |
1252
14.9 IPS |
|
|
Face Detection (I8)
|
86% |
1187
14.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
610
4.73 IPS |
|
|
Depth Estimation (F16)
|
100% |
731
5.67 IPS |
|
|
Depth Estimation (I8)
|
95% |
726
5.63 IPS |
|
|
Style Transfer (F32)
|
100% |
1435
1.89 IPS |
|
|
Style Transfer (F16)
|
100% |
1769
2.33 IPS |
|
|
Style Transfer (I8)
|
98% |
1770
2.33 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
321
11.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
397
14.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
394
14.1 IPS |
|
|
Text Classification (F32)
|
100% |
155
222.3 IPS |
|
|
Text Classification (F16)
|
100% |
155
222.9 IPS |
|
|
Text Classification (I8)
|
92% |
255
366.1 IPS |
|
|
Machine Translation (F32)
|
100% |
277
5.09 IPS |
|
|
Machine Translation (F16)
|
100% |
280
5.16 IPS |
|
|
Machine Translation (I8)
|
64% |
265
4.87 IPS |
