vivo I2208
Geekbench ML Score
210
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 24 2022 03:58 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | vivo I2208 |
| Model ID | vivo I2208 |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 5.39 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
275
29.4 IPS |
|
|
Image Classification (F16)
|
100% |
371
39.7 IPS |
|
|
Image Classification (I8)
|
81% |
184
19.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
609
3.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
850
5.25 IPS |
|
|
Image Segmentation (I8)
|
89% |
347
2.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
123
0.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
253
1.02 IPS |
|
|
Pose Estimation (I8)
|
80% |
55
0.22 IPS |
|
|
Object Detection (F32)
|
100% |
245
8.60 IPS |
|
|
Object Detection (F16)
|
100% |
313
11.0 IPS |
|
|
Object Detection (I8)
|
52% |
225
7.90 IPS |
|
|
Face Detection (F32)
|
100% |
417
4.79 IPS |
|
|
Face Detection (F16)
|
97% |
661
7.60 IPS |
|
|
Face Detection (I8)
|
75% |
274
3.15 IPS |
|
|
Text Classification (F32)
|
100% |
3
1.34 IPS |
|
|
Text Classification (F16)
|
100% |
54
21.3 IPS |
|
|
Machine Translation (F32)
|
100% |
331
51.1 IPS |
|
|
Machine Translation (F16)
|
100% |
331
51.0 IPS |
