LAVA LAVA LZX411
Geekbench ML Score
296
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 07 2024 01:10 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | LAVA LAVA LZX411 |
| Model ID | LAVA LAVA LZX411 |
| Motherboard | ums9230_1h10 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 2.68 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
143
26.7 IPS |
|
|
Image Classification (F16)
|
100% |
148
27.6 IPS |
|
|
Image Classification (I8)
|
97% |
259
48.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
212
3.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
211
3.53 IPS |
|
|
Image Segmentation (I8)
|
98% |
258
4.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
280
0.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
281
0.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
1297
1.57 IPS |
|
|
Object Detection (F32)
|
100% |
157
11.7 IPS |
|
|
Object Detection (F16)
|
100% |
160
11.9 IPS |
|
|
Object Detection (I8)
|
61% |
298
22.3 IPS |
|
|
Face Detection (F32)
|
100% |
332
3.95 IPS |
|
|
Face Detection (F16)
|
100% |
333
3.96 IPS |
|
|
Face Detection (I8)
|
86% |
717
8.52 IPS |
|
|
Depth Estimation (F32)
|
100% |
310
2.40 IPS |
|
|
Depth Estimation (F16)
|
100% |
309
2.40 IPS |
|
|
Depth Estimation (I8)
|
95% |
660
5.12 IPS |
|
|
Style Transfer (F32)
|
100% |
466
0.61 IPS |
|
|
Style Transfer (F16)
|
100% |
457
0.60 IPS |
|
|
Style Transfer (I8)
|
98% |
1346
1.77 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
191
6.82 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
192
6.84 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
597
21.3 IPS |
|
|
Text Classification (F32)
|
100% |
184
264.1 IPS |
|
|
Text Classification (F16)
|
100% |
179
257.2 IPS |
|
|
Text Classification (I8)
|
92% |
144
206.4 IPS |
|
|
Machine Translation (F32)
|
100% |
335
6.16 IPS |
|
|
Machine Translation (F16)
|
100% |
341
6.27 IPS |
|
|
Machine Translation (I8)
|
64% |
172
3.16 IPS |
