LAVA LAVA LEX402
Geekbench AI Score
214
Single Precision Score
224
Half Precision Score
206
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 07 2025 04:59 AM |
| Views | 3 |
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% |
141
26.3 IPS |
|
|
Image Classification (HP)
|
100% |
133
24.7 IPS |
|
|
Image Classification (Q)
|
100% |
88
16.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
118
1.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
98
1.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
127
2.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
427
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
528
0.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
388
0.46 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.01 IPS |
|
|
Object Detection (HP)
|
100% |
120
9.52 IPS |
|
|
Object Detection (Q)
|
83% |
167
13.5 IPS |
|
|
Face Detection (SP)
|
100% |
304
3.61 IPS |
|
|
Face Detection (HP)
|
100% |
308
3.65 IPS |
|
|
Face Detection (Q)
|
95% |
456
5.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
421
3.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
375
2.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
354
3.24 IPS |
|
|
Style Transfer (SP)
|
89% |
590
0.77 IPS |
|
|
Style Transfer (HP)
|
89% |
870
1.13 IPS |
|
|
Style Transfer (Q)
|
98% |
867
1.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
178
6.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
179
6.61 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
205
7.61 IPS |
|
|
Text Classification (SP)
|
100% |
121
161.7 IPS |
|
|
Text Classification (HP)
|
100% |
126
168.6 IPS |
|
|
Text Classification (Q)
|
88% |
107
144.7 IPS |
|
|
Machine Translation (SP)
|
100% |
154
2.65 IPS |
|
|
Machine Translation (HP)
|
100% |
172
2.96 IPS |
|
|
Machine Translation (Q)
|
50% |
62
2.20 IPS |
