alps aiv8195p1_64_bsp
Geekbench ML Score
820
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 02:25 AM |
| Views | 1 |
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
53.9 IPS |
|
|
Image Classification (F16)
|
100% |
1531
286.6 IPS |
|
|
Image Classification (I8)
|
97% |
2273
425.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
458
7.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
712
11.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1534
25.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
1687
2.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
4584
5.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
11516
13.9 IPS |
|
|
Object Detection (F32)
|
100% |
277
20.6 IPS |
|
|
Object Detection (F16)
|
100% |
1312
98.0 IPS |
|
|
Object Detection (I8)
|
0
|
||
|
Face Detection (F32)
|
25% |
398
4.73 IPS |
|
|
Face Detection (F16)
|
97% |
3822
45.4 IPS |
|
|
Face Detection (I8)
|
86% |
5071
60.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
560
4.34 IPS |
|
|
Depth Estimation (F16)
|
100% |
718
5.57 IPS |
|
|
Depth Estimation (I8)
|
95% |
1837
14.2 IPS |
|
|
Style Transfer (F32)
|
100% |
1137
1.50 IPS |
|
|
Style Transfer (F16)
|
100% |
3090
4.06 IPS |
|
|
Style Transfer (I8)
|
98% |
3506
4.61 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
732
26.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3454
123.4 IPS |
|
|
Image Super-Resolution (I8)
|
64% |
6206
221.6 IPS |
|
|
Text Classification (F32)
|
100% |
100
143.6 IPS |
|
|
Text Classification (F16)
|
100% |
165
236.6 IPS |
|
|
Text Classification (I8)
|
92% |
309
443.5 IPS |
|
|
Machine Translation (F32)
|
100% |
277
5.09 IPS |
|
|
Machine Translation (F16)
|
100% |
347
6.38 IPS |
|
|
Machine Translation (I8)
|
57% |
303
5.57 IPS |
