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 03:25 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% |
288
54.0 IPS |
|
|
Image Classification (F16)
|
100% |
1521
284.6 IPS |
|
|
Image Classification (I8)
|
97% |
2254
421.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
455
7.60 IPS |
|
|
Image Segmentation (F16)
|
100% |
709
11.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1540
25.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1694
2.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
4583
5.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
11513
13.9 IPS |
|
|
Object Detection (F32)
|
100% |
276
20.6 IPS |
|
|
Object Detection (F16)
|
100% |
1302
97.2 IPS |
|
|
Object Detection (I8)
|
0
|
||
|
Face Detection (F32)
|
25% |
400
4.76 IPS |
|
|
Face Detection (F16)
|
97% |
3793
45.1 IPS |
|
|
Face Detection (I8)
|
86% |
4921
58.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
558
4.33 IPS |
|
|
Depth Estimation (F16)
|
100% |
717
5.56 IPS |
|
|
Depth Estimation (I8)
|
95% |
1837
14.2 IPS |
|
|
Style Transfer (F32)
|
100% |
1132
1.49 IPS |
|
|
Style Transfer (F16)
|
100% |
3082
4.05 IPS |
|
|
Style Transfer (I8)
|
98% |
3496
4.60 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
730
26.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3457
123.4 IPS |
|
|
Image Super-Resolution (I8)
|
64% |
6186
220.9 IPS |
|
|
Text Classification (F32)
|
100% |
103
148.0 IPS |
|
|
Text Classification (F16)
|
100% |
169
243.2 IPS |
|
|
Text Classification (I8)
|
92% |
285
409.3 IPS |
|
|
Machine Translation (F32)
|
100% |
271
4.99 IPS |
|
|
Machine Translation (F16)
|
100% |
329
6.05 IPS |
|
|
Machine Translation (I8)
|
57% |
320
5.89 IPS |
