LENOVO Lenovo TB-J606F
Geekbench ML Score
166
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 04 2025 09:13 AM |
| Views | 1 |
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% |
127
13.6 IPS |
|
|
Image Classification (F16)
|
100% |
158
17.0 IPS |
|
|
Image Classification (I8)
|
80% |
959
102.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
212
1.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
252
1.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
1622
10.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
45
0.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
83
0.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
876
3.54 IPS |
|
|
Object Detection (F32)
|
100% |
143
5.01 IPS |
|
|
Object Detection (F16)
|
100% |
167
5.85 IPS |
|
|
Object Detection (I8)
|
52% |
325
11.4 IPS |
|
|
Face Detection (F32)
|
100% |
187
2.15 IPS |
|
|
Face Detection (F16)
|
97% |
231
2.66 IPS |
|
|
Face Detection (I8)
|
40% |
1474
16.9 IPS |
|
|
Text Classification (F32)
|
54% |
8
3.13 IPS |
|
|
Text Classification (F16)
|
54% |
8
3.08 IPS |
|
|
Machine Translation (F32)
|
100% |
98
15.1 IPS |
|
|
Machine Translation (F16)
|
100% |
98
15.1 IPS |
