vivo I2019
Geekbench ML Score
1172
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 16 2022 10:37 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | vivo I2019 |
| Model ID | vivo I2019 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.16 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
853
91.4 IPS |
|
|
Image Classification (F16)
|
100% |
1332
142.7 IPS |
|
|
Image Classification (I8)
|
80% |
1193
127.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2105
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3626
22.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
3483
21.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
952
3.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
1788
7.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
1776
7.19 IPS |
|
|
Object Detection (F32)
|
100% |
449
15.7 IPS |
|
|
Object Detection (F16)
|
99% |
531
18.6 IPS |
|
|
Object Detection (I8)
|
53% |
554
19.4 IPS |
|
|
Face Detection (F32)
|
100% |
1528
17.6 IPS |
|
|
Face Detection (F16)
|
97% |
2797
32.1 IPS |
|
|
Face Detection (I8)
|
75% |
2435
28.0 IPS |
|
|
Text Classification (F32)
|
100% |
518
204.8 IPS |
|
|
Text Classification (F16)
|
98% |
636
251.7 IPS |
|
|
Machine Translation (F32)
|
100% |
642
98.9 IPS |
|
|
Machine Translation (F16)
|
100% |
653
100.7 IPS |
