DSDevices DSDA1
Geekbench ML Score
70
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 20 2025 08:54 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | DSDevices DSDA1 |
| Model ID | DSDevices DSDA1 |
| Motherboard | t7 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.75 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
265
28.4 IPS |
|
|
Image Classification (F16)
|
100% |
264
28.3 IPS |
|
|
Image Classification (I8)
|
80% |
261
27.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
63
0.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
63
0.39 IPS |
|
|
Image Segmentation (I8)
|
89% |
490
3.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
36
0.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
36
0.14 IPS |
|
|
Pose Estimation (I8)
|
80% |
36
0.14 IPS |
|
|
Object Detection (F32)
|
100% |
213
7.46 IPS |
|
|
Object Detection (F16)
|
100% |
213
7.49 IPS |
|
|
Object Detection (I8)
|
51% |
219
7.68 IPS |
|
|
Face Detection (F32)
|
100% |
43
0.50 IPS |
|
|
Face Detection (F16)
|
100% |
43
0.50 IPS |
|
|
Face Detection (I8)
|
76% |
485
5.58 IPS |
|
|
Text Classification (F32)
|
0
|
||
|
Text Classification (F16)
|
0
|
||
|
Machine Translation (F32)
|
100% |
94
14.4 IPS |
|
|
Machine Translation (F16)
|
100% |
96
14.9 IPS |
