vivo I2019
Geekbench ML Score
345
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 16 2022 10:40 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
384
41.2 IPS |
|
|
Image Classification (F16)
|
100% |
282
30.2 IPS |
|
|
Image Classification (I8)
|
81% |
194
20.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
456
2.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
449
2.78 IPS |
|
|
Image Segmentation (I8)
|
89% |
648
4.00 IPS |
|
|
Pose Estimation (F32)
|
100% |
256
1.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
254
1.03 IPS |
|
|
Pose Estimation (I8)
|
80% |
173
0.70 IPS |
|
|
Object Detection (F32)
|
100% |
273
9.59 IPS |
|
|
Object Detection (F16)
|
100% |
301
10.5 IPS |
|
|
Object Detection (I8)
|
52% |
259
9.07 IPS |
|
|
Face Detection (F32)
|
100% |
481
5.52 IPS |
|
|
Face Detection (F16)
|
100% |
473
5.44 IPS |
|
|
Face Detection (I8)
|
75% |
422
4.85 IPS |
|
|
Text Classification (F32)
|
100% |
292
115.5 IPS |
|
|
Text Classification (F16)
|
100% |
294
116.1 IPS |
|
|
Machine Translation (F32)
|
100% |
568
87.6 IPS |
|
|
Machine Translation (F16)
|
100% |
547
84.3 IPS |
