Google Pixel 9 Pro XL
Geekbench AI Score
1158
Single Precision Score
1853
Half Precision Score
1380
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 26 2025 08:29 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% |
630
117.2 IPS |
|
|
Image Classification (HP)
|
100% |
925
172.1 IPS |
|
|
Image Classification (Q)
|
97% |
795
148.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1490
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1770
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5163
6.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
12701
14.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12665
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
639
50.6 IPS |
|
|
Object Detection (HP)
|
99% |
1009
80.0 IPS |
|
|
Object Detection (Q)
|
83% |
935
75.5 IPS |
|
|
Face Detection (SP)
|
100% |
2485
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
3715
44.1 IPS |
|
|
Face Detection (Q)
|
96% |
3057
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3430
26.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5645
43.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
4502
42.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7744
9.96 IPS |
|
|
Style Transfer (HP)
|
100% |
20666
26.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19546
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1750
64.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2687
99.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2601
96.4 IPS |
|
|
Text Classification (SP)
|
35% |
26
233.6 IPS |
|
|
Text Classification (HP)
|
35% |
28
251.3 IPS |
|
|
Text Classification (Q)
|
32% |
18
238.4 IPS |
|
|
Machine Translation (SP)
|
100% |
469
8.08 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.00 IPS |
|
|
Machine Translation (Q)
|
43% |
120
6.97 IPS |
