Google Pixel 9 Pro XL
Geekbench AI Score
2167
Single Precision Score
2166
Half Precision Score
3254
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | fredstar |
| Upload Date | February 08 2026 12:38 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 14.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1561
290.3 IPS |
|
|
Image Classification (HP)
|
100% |
1597
297.1 IPS |
|
|
Image Classification (Q)
|
100% |
2348
436.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1786
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2568
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3068
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3024
3.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
6891
8.17 IPS |
|
|
Object Detection (SP)
|
98% |
1614
128.4 IPS |
|
|
Object Detection (HP)
|
98% |
1605
127.7 IPS |
|
|
Object Detection (Q)
|
83% |
2317
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (Q)
|
95% |
4882
58.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3329
25.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3371
26.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5213
47.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7641
9.92 IPS |
|
|
Style Transfer (HP)
|
89% |
7645
9.92 IPS |
|
|
Style Transfer (Q)
|
98% |
14591
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1666
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3619
134.1 IPS |
|
|
Text Classification (SP)
|
100% |
742
990.5 IPS |
|
|
Text Classification (HP)
|
99% |
744
993.6 IPS |
|
|
Text Classification (Q)
|
88% |
1319
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1682
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1660
28.6 IPS |
|
|
Machine Translation (Q)
|
50% |
780
27.7 IPS |
