vivo I2202
Geekbench ML Score
533
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 19 2024 04:03 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo I2202 |
| Model ID | vivo I2202 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 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 @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.42 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
257
48.1 IPS |
|
|
Image Classification (F16)
|
100% |
256
47.8 IPS |
|
|
Image Classification (I8)
|
97% |
547
102.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
376
6.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
366
6.12 IPS |
|
|
Image Segmentation (I8)
|
98% |
441
7.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
575
0.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
584
0.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
2558
3.10 IPS |
|
|
Object Detection (F32)
|
100% |
286
21.4 IPS |
|
|
Object Detection (F16)
|
100% |
283
21.1 IPS |
|
|
Object Detection (I8)
|
61% |
784
58.5 IPS |
|
|
Face Detection (F32)
|
100% |
600
7.13 IPS |
|
|
Face Detection (F16)
|
100% |
624
7.41 IPS |
|
|
Face Detection (I8)
|
86% |
1499
17.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
560
4.34 IPS |
|
|
Depth Estimation (F16)
|
100% |
549
4.26 IPS |
|
|
Depth Estimation (I8)
|
95% |
1265
9.81 IPS |
|
|
Style Transfer (F32)
|
100% |
935
1.23 IPS |
|
|
Style Transfer (F16)
|
100% |
927
1.22 IPS |
|
|
Style Transfer (I8)
|
98% |
2115
2.78 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
343
12.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
335
12.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1022
36.5 IPS |
|
|
Text Classification (F32)
|
100% |
272
391.1 IPS |
|
|
Text Classification (F16)
|
100% |
256
368.6 IPS |
|
|
Text Classification (I8)
|
92% |
248
357.0 IPS |
|
|
Machine Translation (F32)
|
100% |
606
11.2 IPS |
|
|
Machine Translation (F16)
|
100% |
546
10.0 IPS |
|
|
Machine Translation (I8)
|
64% |
204
3.75 IPS |
