HONOR TFY-LX1
Geekbench ML Score
141
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 16 2022 08:39 PM |
| Views | 17 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | HONOR TFY-LX1 |
| Model ID | HONOR TFY-LX1 |
| Motherboard | TFYLCQ |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
95
10.2 IPS |
|
|
Image Classification (F16)
|
100% |
99
10.6 IPS |
|
|
Image Classification (I8)
|
81% |
222
23.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
165
1.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
165
1.02 IPS |
|
|
Image Segmentation (I8)
|
89% |
453
2.80 IPS |
|
|
Pose Estimation (F32)
|
100% |
80
0.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
73
0.30 IPS |
|
|
Pose Estimation (I8)
|
80% |
134
0.54 IPS |
|
|
Object Detection (F32)
|
100% |
126
4.41 IPS |
|
|
Object Detection (F16)
|
100% |
129
4.54 IPS |
|
|
Object Detection (I8)
|
52% |
202
7.07 IPS |
|
|
Face Detection (F32)
|
100% |
165
1.89 IPS |
|
|
Face Detection (F16)
|
100% |
162
1.86 IPS |
|
|
Face Detection (I8)
|
75% |
323
3.72 IPS |
|
|
Text Classification (F32)
|
100% |
101
39.8 IPS |
|
|
Text Classification (F16)
|
100% |
102
40.5 IPS |
|
|
Machine Translation (F32)
|
100% |
114
17.5 IPS |
|
|
Machine Translation (F16)
|
100% |
113
17.4 IPS |
