alps FLA-400
Geekbench AI Score
602
Single Precision Score
543
Half Precision Score
1083
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 02:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | alps FLA-400 |
| Model ID | alps FLA-400 |
| Motherboard | an300lgu |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3333 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
253
47.0 IPS |
|
|
Image Classification (HP)
|
100% |
255
47.3 IPS |
|
|
Image Classification (Q)
|
100% |
723
134.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
340
5.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
340
5.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
837
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1335
1.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1315
1.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
1742
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (Q)
|
83% |
720
58.2 IPS |
|
|
Face Detection (SP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (Q)
|
95% |
1727
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1132
8.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
417
3.21 IPS |
|
|
Depth Estimation (Q)
|
64% |
1642
15.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2126
2.76 IPS |
|
|
Style Transfer (HP)
|
89% |
2134
2.77 IPS |
|
|
Style Transfer (Q)
|
98% |
4182
5.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
623
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
622
23.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
997
36.9 IPS |
|
|
Text Classification (SP)
|
100% |
293
391.7 IPS |
|
|
Text Classification (HP)
|
100% |
292
389.4 IPS |
|
|
Text Classification (Q)
|
88% |
584
787.0 IPS |
|
|
Machine Translation (SP)
|
100% |
530
9.12 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.01 IPS |
|
|
Machine Translation (Q)
|
50% |
425
15.1 IPS |
