LAVA LXX518
Geekbench AI Score
950
Single Precision Score
953
Half Precision Score
1959
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 07:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | LAVA LXX518 |
| Model ID | LAVA LXX518 |
| Motherboard | pri_board |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
490
91.1 IPS |
|
|
Image Classification (HP)
|
100% |
493
91.7 IPS |
|
|
Image Classification (Q)
|
100% |
1503
279.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
582
9.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
1560
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1694
1.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
1700
1.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
3560
4.22 IPS |
|
|
Object Detection (SP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (HP)
|
100% |
424
33.6 IPS |
|
|
Object Detection (Q)
|
83% |
1347
108.8 IPS |
|
|
Face Detection (SP)
|
100% |
1220
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1273
15.1 IPS |
|
|
Face Detection (Q)
|
95% |
3308
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1749
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1801
13.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3257
29.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3477
4.51 IPS |
|
|
Style Transfer (HP)
|
89% |
3560
4.62 IPS |
|
|
Style Transfer (Q)
|
98% |
8176
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
989
36.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
992
36.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1891
70.1 IPS |
|
|
Text Classification (SP)
|
100% |
509
678.8 IPS |
|
|
Text Classification (HP)
|
100% |
506
674.9 IPS |
|
|
Text Classification (Q)
|
88% |
906
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
740
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
493
17.5 IPS |
