vivo I2220
Geekbench ML Score
1210
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 09 2024 01:46 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo I2220 |
| Model ID | vivo I2220 |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.91 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
774
144.7 IPS |
|
|
Image Classification (F16)
|
100% |
684
128.1 IPS |
|
|
Image Classification (I8)
|
99% |
650
121.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
809
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1019
17.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1131
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
962
1.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
2078
2.52 IPS |
|
|
Pose Estimation (I8)
|
100% |
2082
2.52 IPS |
|
|
Object Detection (F32)
|
100% |
266
19.9 IPS |
|
|
Object Detection (F16)
|
100% |
395
29.5 IPS |
|
|
Object Detection (I8)
|
62% |
446
33.3 IPS |
|
|
Face Detection (F32)
|
100% |
1928
22.9 IPS |
|
|
Face Detection (F16)
|
97% |
2622
31.2 IPS |
|
|
Face Detection (I8)
|
86% |
2271
27.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1565
12.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3145
24.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
3170
24.6 IPS |
|
|
Style Transfer (F32)
|
100% |
6610
8.70 IPS |
|
|
Style Transfer (F16)
|
100% |
10598
13.9 IPS |
|
|
Style Transfer (I8)
|
98% |
10630
14.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
559
20.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1101
39.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1023
36.5 IPS |
|
|
Text Classification (F32)
|
100% |
443
636.7 IPS |
|
|
Text Classification (F16)
|
100% |
442
634.8 IPS |
|
|
Text Classification (I8)
|
92% |
715
1.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
723
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
707
13.0 IPS |
|
|
Machine Translation (I8)
|
64% |
826
15.2 IPS |
