LAVA LXX518
Geekbench AI Score
927
Single Precision Score
928
Half Precision Score
1938
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 07:53 AM |
| Views | 3 |
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% |
496
92.3 IPS |
|
|
Image Classification (HP)
|
100% |
497
92.4 IPS |
|
|
Image Classification (Q)
|
100% |
1487
276.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
609
9.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
612
9.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
1742
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1994
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1736
2.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
3495
4.15 IPS |
|
|
Object Detection (SP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (HP)
|
100% |
427
33.9 IPS |
|
|
Object Detection (Q)
|
83% |
1320
106.7 IPS |
|
|
Face Detection (SP)
|
100% |
1120
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
1110
13.2 IPS |
|
|
Face Detection (Q)
|
95% |
3204
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1624
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1702
13.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3162
29.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3347
4.35 IPS |
|
|
Style Transfer (HP)
|
89% |
3514
4.56 IPS |
|
|
Style Transfer (Q)
|
98% |
7661
9.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
851
31.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
909
33.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1872
69.4 IPS |
|
|
Text Classification (SP)
|
100% |
504
673.1 IPS |
|
|
Text Classification (HP)
|
100% |
498
665.4 IPS |
|
|
Text Classification (Q)
|
88% |
896
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (Q)
|
50% |
482
17.1 IPS |
