LAVA LAVA LZX411
Geekbench AI Score
346
Single Precision Score
331
Half Precision Score
600
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 08:49 AM |
| Views | 1 |
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
34.0 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (Q)
|
100% |
472
87.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
216
3.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
598
9.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
813
0.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
801
0.93 IPS |
|
|
Pose Estimation (Q)
|
84% |
1323
1.57 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (Q)
|
83% |
389
31.5 IPS |
|
|
Face Detection (SP)
|
100% |
412
4.90 IPS |
|
|
Face Detection (HP)
|
100% |
417
4.95 IPS |
|
|
Face Detection (Q)
|
95% |
1049
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
540
4.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
511
3.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
956
8.76 IPS |
|
|
Style Transfer (SP)
|
89% |
1357
1.76 IPS |
|
|
Style Transfer (HP)
|
89% |
1347
1.75 IPS |
|
|
Style Transfer (Q)
|
98% |
2380
3.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
613
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
173
230.4 IPS |
|
|
Text Classification (HP)
|
100% |
168
224.2 IPS |
|
|
Text Classification (Q)
|
88% |
226
304.9 IPS |
|
|
Machine Translation (SP)
|
100% |
250
4.30 IPS |
|
|
Machine Translation (HP)
|
100% |
234
4.04 IPS |
|
|
Machine Translation (Q)
|
50% |
128
4.55 IPS |
