LENOVO Lenovo TB-J606F
Geekbench ML Score
164
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 20 2025 09:40 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | LENOVO Lenovo TB-J606F |
| Model ID | LENOVO Lenovo TB-J606F |
| Motherboard | bengal |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 3.58 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
125
13.4 IPS |
|
|
Image Classification (F16)
|
100% |
157
16.8 IPS |
|
|
Image Classification (I8)
|
80% |
798
85.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
207
1.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
252
1.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
1608
9.93 IPS |
|
|
Pose Estimation (F32)
|
100% |
45
0.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
83
0.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
879
3.56 IPS |
|
|
Object Detection (F32)
|
100% |
143
5.01 IPS |
|
|
Object Detection (F16)
|
100% |
155
5.45 IPS |
|
|
Object Detection (I8)
|
52% |
384
13.5 IPS |
|
|
Face Detection (F32)
|
100% |
187
2.15 IPS |
|
|
Face Detection (F16)
|
97% |
231
2.66 IPS |
|
|
Face Detection (I8)
|
40% |
1397
16.1 IPS |
|
|
Text Classification (F32)
|
54% |
8
3.25 IPS |
|
|
Text Classification (F16)
|
54% |
8
3.23 IPS |
|
|
Machine Translation (F32)
|
100% |
98
15.1 IPS |
|
|
Machine Translation (F16)
|
100% |
97
15.0 IPS |
