alps aiv8195p1_64_bsp
Geekbench ML Score
556
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 03:10 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% |
170
31.8 IPS |
|
|
Image Classification (F16)
|
100% |
238
44.6 IPS |
|
|
Image Classification (I8)
|
97% |
651
121.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
358
5.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
364
6.08 IPS |
|
|
Image Segmentation (I8)
|
98% |
540
9.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
448
0.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
461
0.56 IPS |
|
|
Pose Estimation (I8)
|
100% |
3433
4.16 IPS |
|
|
Object Detection (F32)
|
100% |
332
24.8 IPS |
|
|
Object Detection (F16)
|
100% |
321
24.0 IPS |
|
|
Object Detection (I8)
|
61% |
584
43.6 IPS |
|
|
Face Detection (F32)
|
100% |
456
5.42 IPS |
|
|
Face Detection (F16)
|
100% |
456
5.42 IPS |
|
|
Face Detection (I8)
|
86% |
1179
14.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
529
4.10 IPS |
|
|
Depth Estimation (F16)
|
100% |
520
4.03 IPS |
|
|
Depth Estimation (I8)
|
95% |
1221
9.47 IPS |
|
|
Style Transfer (F32)
|
100% |
918
1.21 IPS |
|
|
Style Transfer (F16)
|
100% |
898
1.18 IPS |
|
|
Style Transfer (I8)
|
98% |
3140
4.13 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
400
14.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
403
14.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
984
35.1 IPS |
|
|
Text Classification (F32)
|
100% |
483
693.9 IPS |
|
|
Text Classification (F16)
|
100% |
484
695.0 IPS |
|
|
Text Classification (I8)
|
92% |
499
717.1 IPS |
|
|
Machine Translation (F32)
|
100% |
524
9.64 IPS |
|
|
Machine Translation (F16)
|
100% |
515
9.47 IPS |
|
|
Machine Translation (I8)
|
64% |
265
4.88 IPS |
