LAVA LAVA LEX402
Geekbench AI Score
219
Single Precision Score
213
Half Precision Score
229
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 13 2024 09:57 AM |
| Views | 2 |
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 | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.50 GHz |
| Cluster 2 | 4 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 2.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
129
24.0 IPS |
|
|
Image Classification (HP)
|
100% |
105
19.6 IPS |
|
|
Image Classification (Q)
|
100% |
166
30.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
139
2.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
145
2.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
283
4.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
556
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
552
0.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
352
0.42 IPS |
|
|
Object Detection (SP)
|
100% |
102
8.11 IPS |
|
|
Object Detection (HP)
|
100% |
102
8.07 IPS |
|
|
Object Detection (Q)
|
83% |
138
11.1 IPS |
|
|
Face Detection (SP)
|
100% |
265
3.15 IPS |
|
|
Face Detection (HP)
|
100% |
279
3.31 IPS |
|
|
Face Detection (Q)
|
95% |
415
4.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
355
2.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
315
2.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
376
3.45 IPS |
|
|
Style Transfer (SP)
|
89% |
910
1.18 IPS |
|
|
Style Transfer (HP)
|
89% |
909
1.18 IPS |
|
|
Style Transfer (Q)
|
98% |
911
1.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
160
5.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
162
5.98 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
200
7.40 IPS |
|
|
Text Classification (SP)
|
100% |
115
152.9 IPS |
|
|
Text Classification (HP)
|
100% |
114
152.1 IPS |
|
|
Text Classification (Q)
|
88% |
112
151.3 IPS |
|
|
Machine Translation (SP)
|
100% |
161
2.77 IPS |
|
|
Machine Translation (HP)
|
100% |
156
2.70 IPS |
|
|
Machine Translation (Q)
|
50% |
56
1.99 IPS |
