alps FLA-400
Geekbench AI Score
221
Single Precision Score
1337
Half Precision Score
1719
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 03:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
135
25.2 IPS |
|
|
Image Classification (HP)
|
100% |
1267
235.6 IPS |
|
|
Image Classification (Q)
|
99% |
2956
551.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1568
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1135
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
5459
6.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
21393
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
142
11.3 IPS |
|
|
Object Detection (HP)
|
100% |
1232
97.7 IPS |
|
|
Object Detection (Q)
|
86% |
1057
85.0 IPS |
|
|
Face Detection (SP)
|
28% |
20
3.74 IPS |
|
|
Face Detection (HP)
|
100% |
3679
43.7 IPS |
|
|
Face Detection (Q)
|
97% |
5406
64.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
418
3.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
5951
45.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
12101
114.9 IPS |
|
|
Style Transfer (SP)
|
100% |
861
1.11 IPS |
|
|
Style Transfer (HP)
|
100% |
483
0.62 IPS |
|
|
Style Transfer (Q)
|
30% |
339
5.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
426
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3069
113.3 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
2145
312.4 IPS |
|
|
Text Classification (SP)
|
100% |
83
111.1 IPS |
|
|
Text Classification (HP)
|
100% |
167
223.1 IPS |
|
|
Text Classification (Q)
|
93% |
665
893.4 IPS |
|
|
Machine Translation (SP)
|
100% |
203
3.50 IPS |
|
|
Machine Translation (HP)
|
100% |
299
5.15 IPS |
|
|
Machine Translation (Q)
|
59% |
68
1.57 IPS |
