vivo I2201
Geekbench ML Score
564
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 13 2024 03:46 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
284
53.1 IPS |
|
|
Image Classification (F16)
|
100% |
511
95.6 IPS |
|
|
Image Classification (I8)
|
97% |
377
70.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
554
9.26 IPS |
|
|
Image Segmentation (F16)
|
100% |
879
14.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
772
12.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
449
0.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
818
0.99 IPS |
|
|
Pose Estimation (I8)
|
100% |
836
1.01 IPS |
|
|
Object Detection (F32)
|
100% |
229
17.1 IPS |
|
|
Object Detection (F16)
|
100% |
311
23.2 IPS |
|
|
Object Detection (I8)
|
62% |
238
17.8 IPS |
|
|
Face Detection (F32)
|
100% |
955
11.4 IPS |
|
|
Face Detection (F16)
|
97% |
1365
16.2 IPS |
|
|
Face Detection (I8)
|
87% |
1218
14.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
677
5.25 IPS |
|
|
Depth Estimation (F16)
|
100% |
1428
11.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
1305
10.1 IPS |
|
|
Style Transfer (F32)
|
100% |
1486
1.95 IPS |
|
|
Style Transfer (F16)
|
100% |
3096
4.07 IPS |
|
|
Style Transfer (I8)
|
98% |
3151
4.15 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
227
8.12 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
282
10.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
282
10.1 IPS |
|
|
Text Classification (F32)
|
100% |
192
276.1 IPS |
|
|
Text Classification (F16)
|
100% |
192
276.4 IPS |
|
|
Text Classification (I8)
|
92% |
343
493.4 IPS |
|
|
Machine Translation (F32)
|
100% |
343
6.32 IPS |
|
|
Machine Translation (F16)
|
100% |
342
6.30 IPS |
|
|
Machine Translation (I8)
|
64% |
434
7.99 IPS |
