Google Pixel 9 Pro XL
Geekbench ML Score
2132
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 20 2024 02:31 PM |
| Views | 10 |
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% |
317
34.0 IPS |
|
|
Image Classification (F16)
|
100% |
4899
524.9 IPS |
|
|
Image Classification (I8)
|
79% |
8415
901.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
306
1.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
15439
95.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
50051
309.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
293
1.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
8876
35.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
17308
70.0 IPS |
|
|
Object Detection (F32)
|
100% |
274
9.62 IPS |
|
|
Object Detection (F16)
|
100% |
121
4.25 IPS |
|
|
Object Detection (I8)
|
50% |
3759
131.9 IPS |
|
|
Face Detection (F32)
|
100% |
228
2.62 IPS |
|
|
Face Detection (F16)
|
98% |
10983
126.2 IPS |
|
|
Face Detection (I8)
|
75% |
22131
254.3 IPS |
|
|
Text Classification (F32)
|
100% |
1301
514.6 IPS |
|
|
Text Classification (F16)
|
100% |
895
353.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1268
195.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1255
193.4 IPS |
