alps TX205
Geekbench ML Score
208
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | March 19 2025 10:12 AM |
| Views | 4 |
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% |
84
15.7 IPS |
|
|
Image Classification (F16)
|
100% |
81
15.1 IPS |
|
|
Image Classification (I8)
|
97% |
135
25.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
191
3.18 IPS |
|
|
Image Segmentation (I8)
|
98% |
279
4.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
294
0.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
290
0.35 IPS |
|
|
Pose Estimation (I8)
|
100% |
1279
1.55 IPS |
|
|
Object Detection (F32)
|
100% |
108
8.04 IPS |
|
|
Object Detection (F16)
|
100% |
106
7.92 IPS |
|
|
Object Detection (I8)
|
61% |
188
14.0 IPS |
|
|
Face Detection (F32)
|
100% |
272
3.24 IPS |
|
|
Face Detection (F16)
|
100% |
273
3.24 IPS |
|
|
Face Detection (I8)
|
86% |
514
6.11 IPS |
|
|
Depth Estimation (F32)
|
100% |
261
2.02 IPS |
|
|
Depth Estimation (F16)
|
100% |
257
1.99 IPS |
|
|
Depth Estimation (I8)
|
95% |
498
3.86 IPS |
|
|
Style Transfer (F32)
|
100% |
536
0.70 IPS |
|
|
Style Transfer (F16)
|
100% |
536
0.71 IPS |
|
|
Style Transfer (I8)
|
98% |
1722
2.27 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
145
5.18 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
152
5.45 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
360
12.8 IPS |
|
|
Text Classification (F32)
|
100% |
56
81.0 IPS |
|
|
Text Classification (F16)
|
100% |
55
78.8 IPS |
|
|
Text Classification (I8)
|
92% |
53
76.2 IPS |
|
|
Machine Translation (F32)
|
100% |
128
2.35 IPS |
|
|
Machine Translation (F16)
|
100% |
131
2.41 IPS |
|
|
Machine Translation (I8)
|
64% |
118
2.17 IPS |
