Google Pixel 9 Pro XL
Geekbench AI Score
2009
Single Precision Score
1993
Half Precision Score
3092
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 10 2025 08:46 AM |
| Views | 2 |
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 | 15.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1567
291.4 IPS |
|
|
Image Classification (HP)
|
100% |
1571
292.1 IPS |
|
|
Image Classification (Q)
|
100% |
2295
426.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1712
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2557
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2879
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2793
3.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
6117
7.26 IPS |
|
|
Object Detection (SP)
|
98% |
1451
115.5 IPS |
|
|
Object Detection (HP)
|
98% |
1428
113.7 IPS |
|
|
Object Detection (Q)
|
83% |
2114
170.8 IPS |
|
|
Face Detection (SP)
|
100% |
2658
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
2848
33.8 IPS |
|
|
Face Detection (Q)
|
95% |
4860
58.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3056
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2964
22.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4949
45.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6966
9.04 IPS |
|
|
Style Transfer (HP)
|
89% |
6846
8.89 IPS |
|
|
Style Transfer (Q)
|
98% |
13449
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1572
58.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1564
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3604
133.5 IPS |
|
|
Text Classification (SP)
|
100% |
708
945.2 IPS |
|
|
Text Classification (HP)
|
99% |
713
951.0 IPS |
|
|
Text Classification (Q)
|
88% |
1298
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1483
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1436
24.7 IPS |
|
|
Machine Translation (Q)
|
50% |
697
24.7 IPS |
