Google Pixel 9 Pro XL
Geekbench AI Score
425
Single Precision Score
4987
Half Precision Score
9741
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 14 2025 02:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
281
52.2 IPS |
|
|
Image Classification (HP)
|
100% |
6609
1.23 KIPS |
|
|
Image Classification (Q)
|
99% |
11031
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
361
5.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
9533
154.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18674
303.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
449
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
31975
37.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
65381
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.8 IPS |
|
|
Object Detection (HP)
|
100% |
5483
434.9 IPS |
|
|
Object Detection (Q)
|
87% |
8707
698.5 IPS |
|
|
Face Detection (SP)
|
100% |
640
7.60 IPS |
|
|
Face Detection (HP)
|
100% |
16345
194.2 IPS |
|
|
Face Detection (Q)
|
97% |
34751
414.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
570
4.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
35196
271.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
43221
397.9 IPS |
|
|
Style Transfer (SP)
|
100% |
858
1.10 IPS |
|
|
Style Transfer (HP)
|
100% |
852
1.10 IPS |
|
|
Style Transfer (Q)
|
73% |
3488
4.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
284
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10304
380.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19504
722.7 IPS |
|
|
Text Classification (SP)
|
100% |
344
458.6 IPS |
|
|
Text Classification (HP)
|
100% |
343
458.2 IPS |
|
|
Text Classification (Q)
|
92% |
2406
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
533
9.18 IPS |
|
|
Machine Translation (HP)
|
100% |
498
8.57 IPS |
|
|
Machine Translation (Q)
|
57% |
267
6.51 IPS |
