Google Pixel 9 Pro XL
Geekbench AI Score
1704
Single Precision Score
1702
Half Precision Score
2463
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 09 2025 01:52 AM |
| Views | 3 |
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% |
1447
269.1 IPS |
|
|
Image Classification (HP)
|
100% |
1578
293.4 IPS |
|
|
Image Classification (Q)
|
100% |
2298
427.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2469
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2914
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2851
3.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
6311
7.48 IPS |
|
|
Object Detection (SP)
|
98% |
1316
104.7 IPS |
|
|
Object Detection (HP)
|
98% |
1322
105.2 IPS |
|
|
Object Detection (Q)
|
83% |
1934
156.2 IPS |
|
|
Face Detection (SP)
|
100% |
2876
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
2834
33.7 IPS |
|
|
Face Detection (Q)
|
95% |
4843
57.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2798
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2824
21.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4131
37.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5457
7.08 IPS |
|
|
Style Transfer (HP)
|
89% |
5485
7.12 IPS |
|
|
Style Transfer (Q)
|
98% |
9507
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1059
39.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1053
38.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2400
88.9 IPS |
|
|
Text Classification (SP)
|
100% |
462
616.3 IPS |
|
|
Text Classification (HP)
|
99% |
444
592.7 IPS |
|
|
Text Classification (Q)
|
88% |
767
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
957
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
339
12.0 IPS |
