LAVA LAVA LEX402
Geekbench AI Score
167
Single Precision Score
156
Half Precision Score
165
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 24 2025 09:05 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6762G |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
126
23.4 IPS |
|
|
Image Classification (HP)
|
100% |
92
17.1 IPS |
|
|
Image Classification (Q)
|
100% |
132
24.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
111
1.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
113
1.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
185
3.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
450
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
437
0.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
316
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
68
5.40 IPS |
|
|
Object Detection (HP)
|
100% |
71
5.63 IPS |
|
|
Object Detection (Q)
|
83% |
81
6.54 IPS |
|
|
Face Detection (SP)
|
100% |
177
2.10 IPS |
|
|
Face Detection (HP)
|
100% |
172
2.04 IPS |
|
|
Face Detection (Q)
|
95% |
269
3.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
267
2.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
175
1.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
234
2.14 IPS |
|
|
Style Transfer (SP)
|
89% |
678
0.88 IPS |
|
|
Style Transfer (HP)
|
89% |
733
0.95 IPS |
|
|
Style Transfer (Q)
|
98% |
673
0.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
110
4.06 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
105
3.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
165
6.13 IPS |
|
|
Text Classification (SP)
|
100% |
88
118.0 IPS |
|
|
Text Classification (HP)
|
100% |
87
116.2 IPS |
|
|
Text Classification (Q)
|
88% |
79
106.6 IPS |
|
|
Machine Translation (SP)
|
100% |
132
2.28 IPS |
|
|
Machine Translation (HP)
|
100% |
133
2.29 IPS |
|
|
Machine Translation (Q)
|
50% |
46
1.63 IPS |
