Google Pixel 9 Pro XL
Geekbench AI Score
749
Single Precision Score
898
Half Precision Score
869
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 05:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
457
84.9 IPS |
|
|
Image Classification (HP)
|
100% |
455
84.5 IPS |
|
|
Image Classification (Q)
|
99% |
453
84.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
795
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1238
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1019
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
530
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
740
0.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
735
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
410
32.6 IPS |
|
|
Object Detection (HP)
|
100% |
548
43.5 IPS |
|
|
Object Detection (Q)
|
83% |
558
45.1 IPS |
|
|
Face Detection (SP)
|
100% |
1811
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
2135
25.4 IPS |
|
|
Face Detection (Q)
|
97% |
2144
25.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1012
7.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
1255
9.67 IPS |
|
|
Depth Estimation (Q)
|
62% |
1017
9.62 IPS |
|
|
Style Transfer (SP)
|
100% |
2769
3.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3608
4.64 IPS |
|
|
Style Transfer (Q)
|
98% |
3563
4.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
587
21.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
650
24.1 IPS |
|
|
Text Classification (SP)
|
100% |
409
546.5 IPS |
|
|
Text Classification (HP)
|
100% |
406
542.4 IPS |
|
|
Text Classification (Q)
|
91% |
695
933.7 IPS |
|
|
Machine Translation (SP)
|
100% |
578
9.96 IPS |
|
|
Machine Translation (HP)
|
100% |
564
9.71 IPS |
|
|
Machine Translation (Q)
|
57% |
371
9.05 IPS |
