alps aiv8195p1_64_bsp
Geekbench ML Score
554
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 03:49 AM |
| Views | 5 |
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% |
201
37.7 IPS |
|
|
Image Classification (F16)
|
100% |
189
35.4 IPS |
|
|
Image Classification (I8)
|
97% |
661
123.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
356
5.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
351
5.87 IPS |
|
|
Image Segmentation (I8)
|
98% |
548
9.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
517
0.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
514
0.62 IPS |
|
|
Pose Estimation (I8)
|
100% |
3397
4.11 IPS |
|
|
Object Detection (F32)
|
100% |
305
22.7 IPS |
|
|
Object Detection (F16)
|
100% |
298
22.2 IPS |
|
|
Object Detection (I8)
|
61% |
584
43.6 IPS |
|
|
Face Detection (F32)
|
100% |
453
5.39 IPS |
|
|
Face Detection (F16)
|
100% |
445
5.29 IPS |
|
|
Face Detection (I8)
|
86% |
1706
20.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
540
4.19 IPS |
|
|
Depth Estimation (F16)
|
100% |
436
3.38 IPS |
|
|
Depth Estimation (I8)
|
95% |
1674
13.0 IPS |
|
|
Style Transfer (F32)
|
100% |
820
1.08 IPS |
|
|
Style Transfer (F16)
|
100% |
969
1.28 IPS |
|
|
Style Transfer (I8)
|
98% |
3079
4.05 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
384
13.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
412
14.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
883
31.5 IPS |
|
|
Text Classification (F32)
|
100% |
470
674.9 IPS |
|
|
Text Classification (F16)
|
100% |
389
559.3 IPS |
|
|
Text Classification (I8)
|
92% |
393
565.1 IPS |
|
|
Machine Translation (F32)
|
100% |
508
9.35 IPS |
|
|
Machine Translation (F16)
|
100% |
527
9.70 IPS |
|
|
Machine Translation (I8)
|
64% |
281
5.17 IPS |
