alps aiv8195p1_64_bsp
Geekbench ML Score
544
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 02:50 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | alps aiv8195p1_64_bsp |
| Model ID | alps aiv8195p1_64_bsp |
| Motherboard | aiv8195p1_64_bsp |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 6.98 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
185
34.6 IPS |
|
|
Image Classification (F16)
|
100% |
272
50.9 IPS |
|
|
Image Classification (I8)
|
97% |
619
115.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
232
3.88 IPS |
|
|
Image Segmentation (F16)
|
100% |
359
5.99 IPS |
|
|
Image Segmentation (I8)
|
98% |
543
9.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
474
0.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
443
0.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
3488
4.22 IPS |
|
|
Object Detection (F32)
|
100% |
291
21.8 IPS |
|
|
Object Detection (F16)
|
100% |
283
21.1 IPS |
|
|
Object Detection (I8)
|
61% |
515
38.4 IPS |
|
|
Face Detection (F32)
|
100% |
492
5.85 IPS |
|
|
Face Detection (F16)
|
100% |
447
5.31 IPS |
|
|
Face Detection (I8)
|
86% |
1468
17.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
555
4.30 IPS |
|
|
Depth Estimation (F16)
|
100% |
518
4.02 IPS |
|
|
Depth Estimation (I8)
|
95% |
1662
12.9 IPS |
|
|
Style Transfer (F32)
|
100% |
805
1.06 IPS |
|
|
Style Transfer (F16)
|
100% |
869
1.14 IPS |
|
|
Style Transfer (I8)
|
98% |
3263
4.29 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
463
16.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
416
14.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
971
34.7 IPS |
|
|
Text Classification (F32)
|
100% |
212
305.4 IPS |
|
|
Text Classification (F16)
|
100% |
477
685.5 IPS |
|
|
Text Classification (I8)
|
92% |
494
710.1 IPS |
|
|
Machine Translation (F32)
|
100% |
541
9.95 IPS |
|
|
Machine Translation (F16)
|
100% |
576
10.6 IPS |
|
|
Machine Translation (I8)
|
64% |
264
4.85 IPS |
