LENOVO Lenovo TB-X505L
Geekbench ML Score
82
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | July 03 2025 06:34 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 9 |
| Model | LENOVO Lenovo TB-X505L |
| Model ID | LENOVO Lenovo TB-X505L |
| Motherboard | QC_Reference_Phone |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 1.82 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
58
6.24 IPS |
|
|
Image Classification (F16)
|
100% |
58
6.21 IPS |
|
|
Image Classification (I8)
|
81% |
192
20.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
103
0.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
103
0.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
350
2.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
38
0.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
38
0.15 IPS |
|
|
Pose Estimation (I8)
|
80% |
73
0.30 IPS |
|
|
Object Detection (F32)
|
100% |
90
3.15 IPS |
|
|
Object Detection (F16)
|
100% |
90
3.16 IPS |
|
|
Object Detection (I8)
|
52% |
255
8.95 IPS |
|
|
Face Detection (F32)
|
100% |
110
1.26 IPS |
|
|
Face Detection (F16)
|
100% |
109
1.26 IPS |
|
|
Face Detection (I8)
|
75% |
285
3.27 IPS |
|
|
Text Classification (F32)
|
100% |
70
27.7 IPS |
|
|
Text Classification (F16)
|
100% |
70
27.8 IPS |
|
|
Machine Translation (F32)
|
100% |
17
2.68 IPS |
|
|
Machine Translation (F16)
|
100% |
17
2.69 IPS |
