Google Pixel 9 Pro XL
Geekbench ML Score
1918
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 20 2024 02:36 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 9 Pro XL |
| Model ID | Google Pixel 9 Pro XL |
| Motherboard | komodo |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 15.19 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
259
27.8 IPS |
|
|
Image Classification (F16)
|
100% |
4694
502.9 IPS |
|
|
Image Classification (I8)
|
79% |
6371
682.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
295
1.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
13878
85.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
40001
247.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
288
1.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
8862
35.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
17893
72.4 IPS |
|
|
Object Detection (F32)
|
100% |
131
4.59 IPS |
|
|
Object Detection (F16)
|
100% |
105
3.70 IPS |
|
|
Object Detection (I8)
|
50% |
4383
153.8 IPS |
|
|
Face Detection (F32)
|
100% |
215
2.48 IPS |
|
|
Face Detection (F16)
|
98% |
10955
125.9 IPS |
|
|
Face Detection (I8)
|
75% |
21647
248.7 IPS |
|
|
Text Classification (F32)
|
100% |
1291
510.8 IPS |
|
|
Text Classification (F16)
|
100% |
659
260.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1263
194.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1243
191.6 IPS |
