LAVA LXX525
Geekbench AI Score
1480
Single Precision Score
1466
Half Precision Score
2360
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 17 2025 08:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | LAVA LXX525 |
| Model ID | LAVA LXX525 |
| Motherboard | pri_board |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1301
242.0 IPS |
|
|
Image Classification (HP)
|
100% |
1278
237.6 IPS |
|
|
Image Classification (Q)
|
100% |
2160
401.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1255
20.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1869
30.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2256
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2014
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
5427
6.44 IPS |
|
|
Object Detection (SP)
|
98% |
1066
84.8 IPS |
|
|
Object Detection (HP)
|
98% |
1168
92.9 IPS |
|
|
Object Detection (Q)
|
83% |
1492
120.5 IPS |
|
|
Face Detection (SP)
|
100% |
2097
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
2114
25.1 IPS |
|
|
Face Detection (Q)
|
95% |
3585
42.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1914
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1917
14.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3711
34.0 IPS |
|
|
Style Transfer (SP)
|
89% |
5025
6.52 IPS |
|
|
Style Transfer (HP)
|
89% |
5068
6.58 IPS |
|
|
Style Transfer (Q)
|
98% |
10222
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
953
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
947
35.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2408
89.2 IPS |
|
|
Text Classification (SP)
|
100% |
501
668.2 IPS |
|
|
Text Classification (HP)
|
99% |
596
795.8 IPS |
|
|
Text Classification (Q)
|
88% |
1022
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (Q)
|
50% |
490
17.4 IPS |
