LAVA LAVA LZX411
Geekbench AI Score
363
Single Precision Score
362
Half Precision Score
647
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 08:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Unisoc |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
183
34.1 IPS |
|
|
Image Classification (HP)
|
100% |
185
34.4 IPS |
|
|
Image Classification (Q)
|
100% |
486
90.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
218
3.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
591
9.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
822
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
817
0.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
1339
1.59 IPS |
|
|
Object Detection (SP)
|
100% |
200
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
83% |
458
37.0 IPS |
|
|
Face Detection (SP)
|
100% |
468
5.56 IPS |
|
|
Face Detection (HP)
|
100% |
453
5.38 IPS |
|
|
Face Detection (Q)
|
95% |
1109
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
618
4.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
609
4.70 IPS |
|
|
Depth Estimation (Q)
|
64% |
1208
11.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1627
2.11 IPS |
|
|
Style Transfer (HP)
|
89% |
1612
2.09 IPS |
|
|
Style Transfer (Q)
|
98% |
2981
3.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
627
23.2 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.9 IPS |
|
|
Text Classification (HP)
|
100% |
167
222.3 IPS |
|
|
Text Classification (Q)
|
88% |
218
293.8 IPS |
|
|
Machine Translation (SP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (HP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (Q)
|
50% |
134
4.77 IPS |
