vivo I2201
Geekbench ML Score
323
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 13 2024 03:53 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo I2201 |
| Model ID | vivo I2201 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.16 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
139
26.0 IPS |
|
|
Image Classification (F16)
|
100% |
139
25.9 IPS |
|
|
Image Classification (I8)
|
97% |
368
68.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
179
2.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
179
2.98 IPS |
|
|
Image Segmentation (I8)
|
98% |
389
6.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
246
0.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
245
0.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
944
1.14 IPS |
|
|
Object Detection (F32)
|
100% |
145
10.8 IPS |
|
|
Object Detection (F16)
|
100% |
145
10.9 IPS |
|
|
Object Detection (I8)
|
61% |
410
30.6 IPS |
|
|
Face Detection (F32)
|
100% |
369
4.39 IPS |
|
|
Face Detection (F16)
|
100% |
370
4.40 IPS |
|
|
Face Detection (I8)
|
86% |
831
9.87 IPS |
|
|
Depth Estimation (F32)
|
100% |
317
2.46 IPS |
|
|
Depth Estimation (F16)
|
100% |
317
2.46 IPS |
|
|
Depth Estimation (I8)
|
95% |
909
7.05 IPS |
|
|
Style Transfer (F32)
|
100% |
553
0.73 IPS |
|
|
Style Transfer (F16)
|
100% |
552
0.73 IPS |
|
|
Style Transfer (I8)
|
98% |
1467
1.93 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
164
5.85 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
164
5.86 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
582
20.8 IPS |
|
|
Text Classification (F32)
|
100% |
192
275.9 IPS |
|
|
Text Classification (F16)
|
100% |
192
275.9 IPS |
|
|
Text Classification (I8)
|
92% |
344
494.0 IPS |
|
|
Machine Translation (F32)
|
100% |
347
6.38 IPS |
|
|
Machine Translation (F16)
|
100% |
343
6.31 IPS |
|
|
Machine Translation (I8)
|
64% |
434
7.98 IPS |
