Google Pixel 2 XL
Geekbench ML Score
133
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 19 2023 03:20 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 | NNAPI |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
117
12.5 IPS |
|
|
Image Classification (F16)
|
100% |
118
12.6 IPS |
|
|
Image Classification (I8)
|
81% |
136
14.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
1.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
182
1.12 IPS |
|
|
Image Segmentation (I8)
|
89% |
232
1.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
69
0.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
69
0.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
43
0.17 IPS |
|
|
Object Detection (F32)
|
100% |
155
5.43 IPS |
|
|
Object Detection (F16)
|
100% |
152
5.32 IPS |
|
|
Object Detection (I8)
|
52% |
167
5.87 IPS |
|
|
Face Detection (F32)
|
100% |
160
1.83 IPS |
|
|
Face Detection (F16)
|
100% |
160
1.84 IPS |
|
|
Face Detection (I8)
|
75% |
179
2.06 IPS |
|
|
Text Classification (F32)
|
100% |
177
70.0 IPS |
|
|
Text Classification (F16)
|
100% |
176
69.5 IPS |
|
|
Machine Translation (F32)
|
100% |
129
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
119
18.3 IPS |
