alps aiv8195p1_64_bsp
Geekbench ML Score
1271
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 02:05 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 | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
500
53.6 IPS |
|
|
Image Classification (F16)
|
100% |
2599
278.5 IPS |
|
|
Image Classification (I8)
|
80% |
4920
527.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
784
4.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
1394
8.61 IPS |
|
|
Image Segmentation (I8)
|
89% |
13360
82.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
507
2.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
1371
5.55 IPS |
|
|
Pose Estimation (I8)
|
80% |
3473
14.1 IPS |
|
|
Object Detection (F32)
|
100% |
563
19.7 IPS |
|
|
Object Detection (F16)
|
100% |
1247
43.7 IPS |
|
|
Object Detection (I8)
|
53% |
1506
52.9 IPS |
|
|
Face Detection (F32)
|
25% |
353
4.06 IPS |
|
|
Face Detection (F16)
|
97% |
3288
37.8 IPS |
|
|
Face Detection (I8)
|
75% |
9252
106.3 IPS |
|
|
Text Classification (F32)
|
100% |
293
115.9 IPS |
|
|
Text Classification (F16)
|
100% |
568
224.6 IPS |
|
|
Machine Translation (F32)
|
100% |
466
71.9 IPS |
|
|
Machine Translation (F16)
|
100% |
480
73.9 IPS |
