alps aiv8195p1_64_bsp
Geekbench ML Score
566
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 03:29 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
189
35.4 IPS |
|
|
Image Classification (F16)
|
100% |
236
44.1 IPS |
|
|
Image Classification (I8)
|
97% |
651
121.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
348
5.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
364
6.07 IPS |
|
|
Image Segmentation (I8)
|
98% |
546
9.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
491
0.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
472
0.57 IPS |
|
|
Pose Estimation (I8)
|
100% |
3523
4.27 IPS |
|
|
Object Detection (F32)
|
100% |
325
24.2 IPS |
|
|
Object Detection (F16)
|
100% |
312
23.3 IPS |
|
|
Object Detection (I8)
|
61% |
525
39.2 IPS |
|
|
Face Detection (F32)
|
100% |
574
6.83 IPS |
|
|
Face Detection (F16)
|
100% |
467
5.56 IPS |
|
|
Face Detection (I8)
|
86% |
1628
19.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
510
3.96 IPS |
|
|
Depth Estimation (F16)
|
100% |
479
3.71 IPS |
|
|
Depth Estimation (I8)
|
95% |
1665
12.9 IPS |
|
|
Style Transfer (F32)
|
100% |
862
1.13 IPS |
|
|
Style Transfer (F16)
|
100% |
904
1.19 IPS |
|
|
Style Transfer (I8)
|
98% |
2536
3.34 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
409
14.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
390
13.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1018
36.4 IPS |
|
|
Text Classification (F32)
|
100% |
467
671.3 IPS |
|
|
Text Classification (F16)
|
100% |
443
637.2 IPS |
|
|
Text Classification (I8)
|
92% |
491
705.4 IPS |
|
|
Machine Translation (F32)
|
100% |
540
9.94 IPS |
|
|
Machine Translation (F16)
|
100% |
517
9.52 IPS |
|
|
Machine Translation (I8)
|
64% |
275
5.06 IPS |
