Google Pixel 9 Pro XL
Geekbench AI Score
1983
Single Precision Score
2011
Half Precision Score
3049
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 03 2025 08:50 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% |
1392
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
1578
293.5 IPS |
|
|
Image Classification (Q)
|
100% |
2460
457.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1724
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2568
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2806
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2816
3.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
6311
7.48 IPS |
|
|
Object Detection (SP)
|
98% |
1468
116.8 IPS |
|
|
Object Detection (HP)
|
98% |
1461
116.3 IPS |
|
|
Object Detection (Q)
|
83% |
1906
154.0 IPS |
|
|
Face Detection (SP)
|
100% |
2740
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
2822
33.5 IPS |
|
|
Face Detection (Q)
|
95% |
4831
57.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2970
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3082
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4892
44.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6882
8.93 IPS |
|
|
Style Transfer (HP)
|
89% |
6878
8.93 IPS |
|
|
Style Transfer (Q)
|
98% |
13272
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1537
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1537
56.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3596
133.2 IPS |
|
|
Text Classification (SP)
|
100% |
713
952.0 IPS |
|
|
Text Classification (HP)
|
99% |
712
949.7 IPS |
|
|
Text Classification (Q)
|
88% |
1145
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1536
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1481
25.5 IPS |
|
|
Machine Translation (Q)
|
50% |
708
25.1 IPS |
