alps aiv8195p1_64_bsp
Geekbench ML Score
563
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 02:30 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
190
35.6 IPS |
|
|
Image Classification (F16)
|
100% |
193
36.0 IPS |
|
|
Image Classification (I8)
|
97% |
681
127.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
385
6.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
358
5.98 IPS |
|
|
Image Segmentation (I8)
|
98% |
501
8.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
491
0.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
491
0.59 IPS |
|
|
Pose Estimation (I8)
|
100% |
3216
3.89 IPS |
|
|
Object Detection (F32)
|
100% |
313
23.3 IPS |
|
|
Object Detection (F16)
|
100% |
262
19.6 IPS |
|
|
Object Detection (I8)
|
61% |
720
53.7 IPS |
|
|
Face Detection (F32)
|
100% |
500
5.95 IPS |
|
|
Face Detection (F16)
|
100% |
524
6.23 IPS |
|
|
Face Detection (I8)
|
86% |
1294
15.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
569
4.41 IPS |
|
|
Depth Estimation (F16)
|
100% |
496
3.85 IPS |
|
|
Depth Estimation (I8)
|
95% |
1652
12.8 IPS |
|
|
Style Transfer (F32)
|
100% |
821
1.08 IPS |
|
|
Style Transfer (F16)
|
100% |
827
1.09 IPS |
|
|
Style Transfer (I8)
|
98% |
3293
4.33 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
371
13.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
379
13.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1570
56.1 IPS |
|
|
Text Classification (F32)
|
100% |
446
640.5 IPS |
|
|
Text Classification (F16)
|
100% |
356
511.8 IPS |
|
|
Text Classification (I8)
|
92% |
494
709.6 IPS |
|
|
Machine Translation (F32)
|
100% |
510
9.39 IPS |
|
|
Machine Translation (F16)
|
100% |
493
9.07 IPS |
|
|
Machine Translation (I8)
|
64% |
275
5.05 IPS |
