LENOVO Lenovo TB125FU
Geekbench ML Score
321
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 24 2024 05:15 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | LENOVO Lenovo TB125FU |
| Model ID | LENOVO Lenovo TB125FU |
| Motherboard | P98980AA1 |
| CPU Information | |
|---|---|
| Name | ARM MT8786V/N |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
161
30.1 IPS |
|
|
Image Classification (F16)
|
100% |
159
29.8 IPS |
|
|
Image Classification (I8)
|
97% |
260
48.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
234
3.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
231
3.86 IPS |
|
|
Image Segmentation (I8)
|
98% |
293
4.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
301
0.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
293
0.36 IPS |
|
|
Pose Estimation (I8)
|
100% |
1339
1.62 IPS |
|
|
Object Detection (F32)
|
100% |
176
13.2 IPS |
|
|
Object Detection (F16)
|
100% |
176
13.2 IPS |
|
|
Object Detection (I8)
|
61% |
312
23.3 IPS |
|
|
Face Detection (F32)
|
100% |
378
4.50 IPS |
|
|
Face Detection (F16)
|
100% |
372
4.42 IPS |
|
|
Face Detection (I8)
|
86% |
754
8.97 IPS |
|
|
Depth Estimation (F32)
|
100% |
355
2.75 IPS |
|
|
Depth Estimation (F16)
|
100% |
356
2.76 IPS |
|
|
Depth Estimation (I8)
|
95% |
721
5.59 IPS |
|
|
Style Transfer (F32)
|
100% |
574
0.75 IPS |
|
|
Style Transfer (F16)
|
100% |
570
0.75 IPS |
|
|
Style Transfer (I8)
|
98% |
1493
1.96 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
199
7.10 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
201
7.18 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
598
21.4 IPS |
|
|
Text Classification (F32)
|
100% |
194
278.7 IPS |
|
|
Text Classification (F16)
|
100% |
195
280.0 IPS |
|
|
Text Classification (I8)
|
92% |
146
210.2 IPS |
|
|
Machine Translation (F32)
|
100% |
371
6.83 IPS |
|
|
Machine Translation (F16)
|
100% |
369
6.80 IPS |
|
|
Machine Translation (I8)
|
64% |
158
2.91 IPS |
