vivo I2208
Geekbench ML Score
516
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 24 2022 03:47 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | vivo I2208 |
| Model ID | vivo I2208 |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 5.39 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
362
38.8 IPS |
|
|
Image Classification (F16)
|
100% |
616
66.0 IPS |
|
|
Image Classification (I8)
|
80% |
477
51.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
817
5.05 IPS |
|
|
Image Segmentation (F16)
|
100% |
1235
7.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
1157
7.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
419
1.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
710
2.87 IPS |
|
|
Pose Estimation (I8)
|
80% |
708
2.87 IPS |
|
|
Object Detection (F32)
|
100% |
208
7.28 IPS |
|
|
Object Detection (F16)
|
99% |
247
8.66 IPS |
|
|
Object Detection (I8)
|
53% |
246
8.64 IPS |
|
|
Face Detection (F32)
|
100% |
730
8.39 IPS |
|
|
Face Detection (F16)
|
97% |
1067
12.3 IPS |
|
|
Face Detection (I8)
|
75% |
965
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
307
121.3 IPS |
|
|
Text Classification (F16)
|
98% |
425
168.2 IPS |
|
|
Machine Translation (F32)
|
100% |
327
50.4 IPS |
|
|
Machine Translation (F16)
|
100% |
328
50.5 IPS |
