alps FLA-400
Geekbench AI Score
338
Single Precision Score
542
Half Precision Score
435
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 02:57 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
167
31.1 IPS |
|
|
Image Classification (HP)
|
100% |
227
42.2 IPS |
|
|
Image Classification (Q)
|
97% |
213
39.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
320
5.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
621
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1614
1.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2827
3.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
2778
3.26 IPS |
|
|
Object Detection (SP)
|
100% |
205
16.3 IPS |
|
|
Object Detection (HP)
|
99% |
274
21.7 IPS |
|
|
Object Detection (Q)
|
83% |
282
22.7 IPS |
|
|
Face Detection (SP)
|
100% |
704
8.36 IPS |
|
|
Face Detection (HP)
|
100% |
835
9.92 IPS |
|
|
Face Detection (Q)
|
96% |
749
8.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
977
7.53 IPS |
|
|
Depth Estimation (HP)
|
98% |
1829
14.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
1465
13.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2667
3.43 IPS |
|
|
Style Transfer (HP)
|
100% |
5607
7.21 IPS |
|
|
Style Transfer (Q)
|
98% |
5653
7.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
552
20.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
861
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
832
30.8 IPS |
|
|
Text Classification (SP)
|
35% |
7
67.3 IPS |
|
|
Text Classification (HP)
|
35% |
11
99.1 IPS |
|
|
Text Classification (Q)
|
32% |
8
98.0 IPS |
|
|
Machine Translation (SP)
|
100% |
158
2.72 IPS |
|
|
Machine Translation (HP)
|
100% |
235
4.04 IPS |
|
|
Machine Translation (Q)
|
43% |
58
3.39 IPS |
