LENOVO Lenovo TB-J606F
Geekbench ML Score
214
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 20 2025 09:32 PM |
| Views | 5 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
132
14.1 IPS |
|
|
Image Classification (F16)
|
100% |
260
27.8 IPS |
|
|
Image Classification (I8)
|
80% |
229
24.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
278
1.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
551
3.41 IPS |
|
|
Image Segmentation (I8)
|
89% |
504
3.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
124
0.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
233
0.94 IPS |
|
|
Pose Estimation (I8)
|
80% |
231
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
110
3.85 IPS |
|
|
Object Detection (F16)
|
99% |
163
5.72 IPS |
|
|
Object Detection (I8)
|
53% |
158
5.54 IPS |
|
|
Face Detection (F32)
|
100% |
277
3.19 IPS |
|
|
Face Detection (F16)
|
97% |
489
5.62 IPS |
|
|
Face Detection (I8)
|
76% |
442
5.08 IPS |
|
|
Text Classification (F32)
|
100% |
156
61.5 IPS |
|
|
Text Classification (F16)
|
98% |
201
79.5 IPS |
|
|
Machine Translation (F32)
|
100% |
96
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
96
14.8 IPS |
