alps FLA-400
Geekbench AI Score
289
Single Precision Score
500
Half Precision Score
397
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 18 2025 09:07 AM |
| Views | 1 |
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 | 3.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
156
29.0 IPS |
|
|
Image Classification (HP)
|
100% |
217
40.3 IPS |
|
|
Image Classification (Q)
|
97% |
202
37.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
274
4.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
570
9.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
1182
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2771
3.23 IPS |
|
|
Pose Estimation (Q)
|
95% |
2476
2.90 IPS |
|
|
Object Detection (SP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (HP)
|
99% |
245
19.5 IPS |
|
|
Object Detection (Q)
|
83% |
255
20.6 IPS |
|
|
Face Detection (SP)
|
100% |
555
6.60 IPS |
|
|
Face Detection (HP)
|
100% |
777
9.23 IPS |
|
|
Face Detection (Q)
|
96% |
728
8.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
864
6.65 IPS |
|
|
Depth Estimation (HP)
|
98% |
1681
13.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
1297
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2149
2.76 IPS |
|
|
Style Transfer (HP)
|
100% |
5126
6.59 IPS |
|
|
Style Transfer (Q)
|
98% |
5088
6.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
432
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
740
27.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
751
27.8 IPS |
|
|
Text Classification (SP)
|
35% |
7
63.5 IPS |
|
|
Text Classification (HP)
|
35% |
10
90.6 IPS |
|
|
Text Classification (Q)
|
32% |
7
90.5 IPS |
|
|
Machine Translation (SP)
|
100% |
149
2.57 IPS |
|
|
Machine Translation (HP)
|
100% |
216
3.71 IPS |
|
|
Machine Translation (Q)
|
43% |
54
3.15 IPS |
