LAVA LAVA LEX402
Geekbench ML Score
163
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 13 2024 09:50 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | LAVA LAVA LEX402 |
| Model ID | LAVA LAVA LEX402 |
| Motherboard | k62v1_64_bsp |
| CPU Information | |
|---|---|
| Name | ARM MT6762G |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 1.50 GHz |
| Cluster 2 | 4 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
102
19.1 IPS |
|
|
Image Classification (F16)
|
100% |
100
18.8 IPS |
|
|
Image Classification (I8)
|
97% |
131
24.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
138
2.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
132
2.21 IPS |
|
|
Image Segmentation (I8)
|
98% |
148
2.47 IPS |
|
|
Pose Estimation (F32)
|
100% |
180
0.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
162
0.20 IPS |
|
|
Pose Estimation (I8)
|
100% |
383
0.46 IPS |
|
|
Object Detection (F32)
|
100% |
93
6.97 IPS |
|
|
Object Detection (F16)
|
100% |
94
6.98 IPS |
|
|
Object Detection (I8)
|
61% |
139
10.4 IPS |
|
|
Face Detection (F32)
|
100% |
184
2.18 IPS |
|
|
Face Detection (F16)
|
100% |
180
2.14 IPS |
|
|
Face Detection (I8)
|
86% |
333
3.96 IPS |
|
|
Depth Estimation (F32)
|
100% |
171
1.33 IPS |
|
|
Depth Estimation (F16)
|
100% |
171
1.32 IPS |
|
|
Depth Estimation (I8)
|
95% |
298
2.31 IPS |
|
|
Style Transfer (F32)
|
100% |
293
0.39 IPS |
|
|
Style Transfer (F16)
|
100% |
285
0.38 IPS |
|
|
Style Transfer (I8)
|
98% |
602
0.79 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
100
3.56 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
100
3.57 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
224
7.99 IPS |
|
|
Text Classification (F32)
|
100% |
103
148.0 IPS |
|
|
Text Classification (F16)
|
100% |
106
151.8 IPS |
|
|
Text Classification (I8)
|
92% |
109
156.7 IPS |
|
|
Machine Translation (F32)
|
100% |
192
3.54 IPS |
|
|
Machine Translation (F16)
|
100% |
184
3.38 IPS |
|
|
Machine Translation (I8)
|
64% |
109
2.00 IPS |
