Google Pixel 9 Pro XL
Geekbench AI Score
1267
Single Precision Score
1261
Half Precision Score
1919
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | rafaeltavares |
| Upload Date | November 12 2025 10:19 PM |
| 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 | 14.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1155
214.9 IPS |
|
|
Image Classification (HP)
|
100% |
1213
225.6 IPS |
|
|
Image Classification (Q)
|
100% |
1971
366.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1434
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1972
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2135
2.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1782
2.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
3465
4.11 IPS |
|
|
Object Detection (SP)
|
98% |
666
53.0 IPS |
|
|
Object Detection (HP)
|
98% |
812
64.6 IPS |
|
|
Object Detection (Q)
|
83% |
1060
85.6 IPS |
|
|
Face Detection (SP)
|
100% |
1673
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
1616
19.2 IPS |
|
|
Face Detection (Q)
|
95% |
2424
28.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1560
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1592
12.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2574
23.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3871
5.02 IPS |
|
|
Style Transfer (HP)
|
89% |
3882
5.04 IPS |
|
|
Style Transfer (Q)
|
98% |
9440
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1034
38.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2339
86.7 IPS |
|
|
Text Classification (SP)
|
100% |
456
608.9 IPS |
|
|
Text Classification (HP)
|
99% |
441
588.3 IPS |
|
|
Text Classification (Q)
|
88% |
757
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
457
16.2 IPS |
