Google Pixel 2 XL
Geekbench ML Score
164
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 19 2023 03:08 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 | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
122
13.0 IPS |
|
|
Image Classification (F16)
|
100% |
120
12.9 IPS |
|
|
Image Classification (I8)
|
81% |
140
15.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
217
1.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
220
1.36 IPS |
|
|
Image Segmentation (I8)
|
89% |
486
3.00 IPS |
|
|
Pose Estimation (F32)
|
100% |
91
0.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
87
0.35 IPS |
|
|
Pose Estimation (I8)
|
80% |
135
0.55 IPS |
|
|
Object Detection (F32)
|
100% |
173
6.07 IPS |
|
|
Object Detection (F16)
|
100% |
169
5.93 IPS |
|
|
Object Detection (I8)
|
52% |
195
6.85 IPS |
|
|
Face Detection (F32)
|
100% |
205
2.36 IPS |
|
|
Face Detection (F16)
|
100% |
209
2.40 IPS |
|
|
Face Detection (I8)
|
75% |
322
3.69 IPS |
|
|
Text Classification (F32)
|
100% |
141
55.9 IPS |
|
|
Text Classification (F16)
|
100% |
140
55.6 IPS |
|
|
Machine Translation (F32)
|
100% |
130
20.0 IPS |
|
|
Machine Translation (F16)
|
100% |
119
18.4 IPS |
