DSDevices DSDA1
Geekbench ML Score
153
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 20 2025 09:34 PM |
| Views | 1 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
91
9.80 IPS |
|
|
Image Classification (F16)
|
100% |
93
9.93 IPS |
|
|
Image Classification (I8)
|
81% |
156
16.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
1.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
182
1.13 IPS |
|
|
Image Segmentation (I8)
|
89% |
522
3.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
101
0.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
103
0.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
145
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
123
4.31 IPS |
|
|
Object Detection (F16)
|
100% |
125
4.38 IPS |
|
|
Object Detection (I8)
|
52% |
255
8.94 IPS |
|
|
Face Detection (F32)
|
100% |
172
1.98 IPS |
|
|
Face Detection (F16)
|
100% |
172
1.97 IPS |
|
|
Face Detection (I8)
|
75% |
322
3.70 IPS |
|
|
Text Classification (F32)
|
100% |
167
66.0 IPS |
|
|
Text Classification (F16)
|
100% |
168
66.6 IPS |
|
|
Machine Translation (F32)
|
100% |
96
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
96
14.8 IPS |
