LAVA LAVA LEX402
Geekbench AI Score
223
Single Precision Score
226
Half Precision Score
225
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 24 2025 09:58 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% |
136
25.3 IPS |
|
|
Image Classification (HP)
|
100% |
132
24.5 IPS |
|
|
Image Classification (Q)
|
100% |
161
30.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
151
2.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
280
4.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
565
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
529
0.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
360
0.43 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.75 IPS |
|
|
Object Detection (HP)
|
100% |
105
8.31 IPS |
|
|
Object Detection (Q)
|
83% |
145
11.7 IPS |
|
|
Face Detection (SP)
|
100% |
276
3.28 IPS |
|
|
Face Detection (HP)
|
100% |
275
3.26 IPS |
|
|
Face Detection (Q)
|
95% |
432
5.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
350
2.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
394
3.03 IPS |
|
|
Depth Estimation (Q)
|
64% |
345
3.16 IPS |
|
|
Style Transfer (SP)
|
89% |
901
1.17 IPS |
|
|
Style Transfer (HP)
|
89% |
903
1.17 IPS |
|
|
Style Transfer (Q)
|
98% |
895
1.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
160
5.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
181
6.70 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
197
7.28 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.5 IPS |
|
|
Text Classification (HP)
|
100% |
115
153.7 IPS |
|
|
Text Classification (Q)
|
88% |
104
140.3 IPS |
|
|
Machine Translation (SP)
|
100% |
153
2.63 IPS |
|
|
Machine Translation (HP)
|
100% |
152
2.61 IPS |
|
|
Machine Translation (Q)
|
50% |
53
1.88 IPS |
