Google Pixel 3 XL
Geekbench ML Score
435
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2021 10:19 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Google Pixel 3 XL |
| Model ID | Google Pixel 3 XL |
| Motherboard | crosshatch |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 6 part 2050 revision 13 |
| Base Frequency | 1.77 GHz |
| Cluster 1 | 4 Cores @ 1.77 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 3.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
560
60.0 IPS |
|
|
Image Classification (F16)
|
100% |
793
85.0 IPS |
|
|
Image Classification (I8)
|
80% |
1217
130.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
665
4.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
741
4.57 IPS |
|
|
Image Segmentation (I8)
|
89% |
2320
14.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
280
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
665
2.69 IPS |
|
|
Pose Estimation (I8)
|
80% |
1246
5.04 IPS |
|
|
Object Detection (F32)
|
100% |
394
13.8 IPS |
|
|
Object Detection (F16)
|
100% |
493
17.3 IPS |
|
|
Object Detection (I8)
|
52% |
556
19.5 IPS |
|
|
Face Detection (F32)
|
100% |
803
9.23 IPS |
|
|
Face Detection (F16)
|
97% |
968
11.1 IPS |
|
|
Face Detection (I8)
|
75% |
1754
20.1 IPS |
|
|
Text Classification (F32)
|
54% |
11
4.18 IPS |
|
|
Text Classification (F16)
|
54% |
11
4.40 IPS |
|
|
Machine Translation (F32)
|
100% |
235
36.2 IPS |
|
|
Machine Translation (F16)
|
100% |
235
36.2 IPS |
