Google Pixel 2 XL
Geekbench ML Score
193
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 19 2023 03:13 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Google Pixel 2 XL |
| Model ID | Google Pixel 2 XL |
| Motherboard | taimen |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 1 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.46 GHz |
| Memory Information | |
|---|---|
| Size | 3.58 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
237
25.4 IPS |
|
|
Image Classification (F16)
|
100% |
457
49.0 IPS |
|
|
Image Classification (I8)
|
81% |
441
47.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
1.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
186
1.15 IPS |
|
|
Image Segmentation (I8)
|
89% |
732
4.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
47
0.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
117
0.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
117
0.47 IPS |
|
|
Object Detection (F32)
|
100% |
111
3.89 IPS |
|
|
Object Detection (F16)
|
100% |
267
9.36 IPS |
|
|
Object Detection (I8)
|
54% |
151
5.31 IPS |
|
|
Face Detection (F32)
|
100% |
162
1.86 IPS |
|
|
Face Detection (F16)
|
100% |
162
1.86 IPS |
|
|
Face Detection (I8)
|
75% |
679
7.80 IPS |
|
|
Text Classification (F32)
|
100% |
176
69.7 IPS |
|
|
Text Classification (F16)
|
100% |
176
69.8 IPS |
|
|
Machine Translation (F32)
|
100% |
117
18.0 IPS |
|
|
Machine Translation (F16)
|
100% |
129
19.9 IPS |
