alps k6989v1_64
Geekbench ML Score
4504
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 01 2023 08:36 AM |
| Views | 50 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | alps k6989v1_64 |
| Model ID | alps k6989v1_64 |
| Motherboard | k6989v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.25 GHz |
| Memory Information | |
|---|---|
| Size | 15.09 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1752
187.7 IPS |
|
|
Image Classification (F16)
|
100% |
6112
654.9 IPS |
|
|
Image Classification (I8)
|
80% |
20183
2.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1387
8.57 IPS |
|
|
Image Segmentation (F16)
|
100% |
16837
104.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
56048
346.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
2636
10.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
17337
70.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
58628
237.2 IPS |
|
|
Object Detection (F32)
|
100% |
1031
36.2 IPS |
|
|
Object Detection (F16)
|
100% |
1556
54.6 IPS |
|
|
Object Detection (I8)
|
53% |
1643
57.7 IPS |
|
|
Face Detection (F32)
|
100% |
3354
38.5 IPS |
|
|
Face Detection (F16)
|
97% |
19238
221.0 IPS |
|
|
Face Detection (I8)
|
75% |
48161
553.3 IPS |
|
|
Text Classification (F32)
|
52% |
409
161.7 IPS |
|
|
Text Classification (F16)
|
80% |
1501
593.7 IPS |
|
|
Machine Translation (F32)
|
100% |
829
127.8 IPS |
|
|
Machine Translation (F16)
|
100% |
831
128.0 IPS |
