alps aiv8195p1_64_bsp
Geekbench ML Score
817
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 03:05 AM |
| Views | 2 |
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 | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
289
54.1 IPS |
|
|
Image Classification (F16)
|
100% |
1528
285.9 IPS |
|
|
Image Classification (I8)
|
97% |
2271
425.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
455
7.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
711
11.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1542
25.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
1681
2.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
4582
5.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
11522
14.0 IPS |
|
|
Object Detection (F32)
|
100% |
275
20.5 IPS |
|
|
Object Detection (F16)
|
100% |
1303
97.3 IPS |
|
|
Object Detection (I8)
|
0
|
||
|
Face Detection (F32)
|
25% |
411
4.89 IPS |
|
|
Face Detection (F16)
|
97% |
3799
45.2 IPS |
|
|
Face Detection (I8)
|
86% |
5023
59.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
557
4.32 IPS |
|
|
Depth Estimation (F16)
|
100% |
710
5.50 IPS |
|
|
Depth Estimation (I8)
|
95% |
1834
14.2 IPS |
|
|
Style Transfer (F32)
|
100% |
1131
1.49 IPS |
|
|
Style Transfer (F16)
|
100% |
2907
3.82 IPS |
|
|
Style Transfer (I8)
|
98% |
3498
4.60 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
734
26.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3447
123.1 IPS |
|
|
Image Super-Resolution (I8)
|
64% |
5556
198.4 IPS |
|
|
Text Classification (F32)
|
100% |
104
149.0 IPS |
|
|
Text Classification (F16)
|
100% |
167
240.0 IPS |
|
|
Text Classification (I8)
|
92% |
308
443.3 IPS |
|
|
Machine Translation (F32)
|
100% |
272
5.00 IPS |
|
|
Machine Translation (F16)
|
100% |
350
6.44 IPS |
|
|
Machine Translation (I8)
|
57% |
313
5.77 IPS |
