LAVA LAVA LZX411
Geekbench AI Score
367
Single Precision Score
365
Half Precision Score
669
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 08:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | LAVA LAVA LZX411 |
| Model ID | LAVA LAVA LZX411 |
| Motherboard | LZX411 |
| 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 | 2.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (HP)
|
100% |
183
34.0 IPS |
|
|
Image Classification (Q)
|
100% |
489
90.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
223
3.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
593
9.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
820
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
820
0.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
1348
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
196
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
83% |
462
37.3 IPS |
|
|
Face Detection (SP)
|
100% |
458
5.45 IPS |
|
|
Face Detection (HP)
|
100% |
455
5.41 IPS |
|
|
Face Detection (Q)
|
95% |
1153
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
618
4.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
590
4.54 IPS |
|
|
Depth Estimation (Q)
|
64% |
1236
11.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1591
2.07 IPS |
|
|
Style Transfer (HP)
|
89% |
1591
2.07 IPS |
|
|
Style Transfer (Q)
|
98% |
3161
4.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
312
11.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
698
25.9 IPS |
|
|
Text Classification (SP)
|
100% |
174
232.7 IPS |
|
|
Text Classification (HP)
|
100% |
175
232.9 IPS |
|
|
Text Classification (Q)
|
88% |
240
324.3 IPS |
|
|
Machine Translation (SP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (Q)
|
50% |
133
4.71 IPS |
