Google Pixel 9 Pro XL
Geekbench AI Score
1109
Single Precision Score
1811
Half Precision Score
1287
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | timk |
| Upload Date | December 31 2025 05:13 PM |
| Views | 5 |
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 | 15.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
666
123.9 IPS |
|
|
Image Classification (HP)
|
100% |
823
153.0 IPS |
|
|
Image Classification (Q)
|
97% |
484
90.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1488
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2334
37.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1753
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5271
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
13020
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12409
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
603
47.9 IPS |
|
|
Object Detection (HP)
|
99% |
1112
88.2 IPS |
|
|
Object Detection (Q)
|
83% |
1029
83.1 IPS |
|
|
Face Detection (SP)
|
100% |
2663
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
3340
39.7 IPS |
|
|
Face Detection (Q)
|
96% |
2941
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3680
28.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6317
48.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
5003
47.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8060
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21326
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20213
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1895
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2473
91.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2273
84.2 IPS |
|
|
Text Classification (SP)
|
35% |
20
182.2 IPS |
|
|
Text Classification (HP)
|
35% |
29
266.3 IPS |
|
|
Text Classification (Q)
|
32% |
19
245.0 IPS |
|
|
Machine Translation (SP)
|
100% |
300
5.17 IPS |
|
|
Machine Translation (HP)
|
100% |
424
7.30 IPS |
|
|
Machine Translation (Q)
|
43% |
90
5.25 IPS |
