alps FLA-400
Geekbench AI Score
608
Single Precision Score
609
Half Precision Score
1089
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 02 2025 02:45 AM |
| Views | 8 |
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 | 5.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
259
48.2 IPS |
|
|
Image Classification (HP)
|
100% |
260
48.4 IPS |
|
|
Image Classification (Q)
|
100% |
738
137.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
342
5.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
342
5.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
847
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1343
1.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
1341
1.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
1747
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
256
20.3 IPS |
|
|
Object Detection (HP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (Q)
|
83% |
732
59.1 IPS |
|
|
Face Detection (SP)
|
100% |
922
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
925
11.0 IPS |
|
|
Face Detection (Q)
|
95% |
1735
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1187
9.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
1212
9.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
1656
15.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2152
2.79 IPS |
|
|
Style Transfer (HP)
|
89% |
2146
2.79 IPS |
|
|
Style Transfer (Q)
|
98% |
4202
5.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
643
23.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
644
23.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1008
37.4 IPS |
|
|
Text Classification (SP)
|
100% |
293
391.4 IPS |
|
|
Text Classification (HP)
|
100% |
291
387.9 IPS |
|
|
Text Classification (Q)
|
88% |
577
778.5 IPS |
|
|
Machine Translation (SP)
|
100% |
519
8.94 IPS |
|
|
Machine Translation (HP)
|
100% |
516
8.89 IPS |
|
|
Machine Translation (Q)
|
50% |
421
14.9 IPS |
