alps TX205
Geekbench ML Score
211
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | March 19 2025 11:45 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | alps TX205 |
| Model ID | alps TX205 |
| Motherboard | tb8781p1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.69 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
80
15.0 IPS |
|
|
Image Classification (F16)
|
100% |
79
14.8 IPS |
|
|
Image Classification (I8)
|
97% |
126
23.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
191
3.18 IPS |
|
|
Image Segmentation (I8)
|
98% |
273
4.57 IPS |
|
|
Pose Estimation (F32)
|
100% |
293
0.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
282
0.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
1334
1.62 IPS |
|
|
Object Detection (F32)
|
100% |
104
7.76 IPS |
|
|
Object Detection (F16)
|
100% |
108
8.05 IPS |
|
|
Object Detection (I8)
|
61% |
173
12.9 IPS |
|
|
Face Detection (F32)
|
100% |
273
3.25 IPS |
|
|
Face Detection (F16)
|
100% |
275
3.27 IPS |
|
|
Face Detection (I8)
|
86% |
500
5.95 IPS |
|
|
Depth Estimation (F32)
|
100% |
261
2.02 IPS |
|
|
Depth Estimation (F16)
|
100% |
268
2.08 IPS |
|
|
Depth Estimation (I8)
|
95% |
551
4.27 IPS |
|
|
Style Transfer (F32)
|
100% |
550
0.72 IPS |
|
|
Style Transfer (F16)
|
100% |
547
0.72 IPS |
|
|
Style Transfer (I8)
|
98% |
1742
2.29 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
154
5.51 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
154
5.49 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
410
14.6 IPS |
|
|
Text Classification (F32)
|
100% |
60
86.4 IPS |
|
|
Text Classification (F16)
|
100% |
62
89.0 IPS |
|
|
Text Classification (I8)
|
92% |
60
86.6 IPS |
|
|
Machine Translation (F32)
|
100% |
140
2.58 IPS |
|
|
Machine Translation (F16)
|
100% |
131
2.41 IPS |
|
|
Machine Translation (I8)
|
64% |
112
2.05 IPS |
