vivo I2201
Geekbench ML Score
718
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 13 2024 03:42 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
386
72.2 IPS |
|
|
Image Classification (F16)
|
100% |
383
71.7 IPS |
|
|
Image Classification (I8)
|
97% |
690
129.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
496
8.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
493
8.23 IPS |
|
|
Image Segmentation (I8)
|
98% |
545
9.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
811
0.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
751
0.91 IPS |
|
|
Pose Estimation (I8)
|
100% |
3675
4.45 IPS |
|
|
Object Detection (F32)
|
100% |
382
28.5 IPS |
|
|
Object Detection (F16)
|
100% |
359
26.8 IPS |
|
|
Object Detection (I8)
|
61% |
729
54.4 IPS |
|
|
Face Detection (F32)
|
100% |
781
9.29 IPS |
|
|
Face Detection (F16)
|
100% |
779
9.26 IPS |
|
|
Face Detection (I8)
|
86% |
1378
16.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
818
6.35 IPS |
|
|
Depth Estimation (F16)
|
100% |
846
6.56 IPS |
|
|
Depth Estimation (I8)
|
95% |
1541
12.0 IPS |
|
|
Style Transfer (F32)
|
100% |
1603
2.11 IPS |
|
|
Style Transfer (F16)
|
100% |
1554
2.04 IPS |
|
|
Style Transfer (I8)
|
98% |
3021
3.97 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
496
17.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
513
18.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1271
45.4 IPS |
|
|
Text Classification (F32)
|
100% |
401
576.5 IPS |
|
|
Text Classification (F16)
|
100% |
401
575.8 IPS |
|
|
Text Classification (I8)
|
92% |
281
404.1 IPS |
|
|
Machine Translation (F32)
|
100% |
752
13.8 IPS |
|
|
Machine Translation (F16)
|
100% |
755
13.9 IPS |
|
|
Machine Translation (I8)
|
64% |
292
5.38 IPS |
