Google Pixel 9 Pro XL
Geekbench AI Score
464
Single Precision Score
5222
Half Precision Score
9680
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | fredstar |
| Upload Date | February 08 2026 12:50 PM |
| Views | 7 |
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 | 14.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
286
53.3 IPS |
|
|
Image Classification (HP)
|
100% |
6188
1.15 KIPS |
|
|
Image Classification (Q)
|
99% |
10262
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
365
5.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
8724
141.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18277
297.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
472
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
32138
37.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
65480
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (HP)
|
100% |
5486
435.2 IPS |
|
|
Object Detection (Q)
|
87% |
7716
618.9 IPS |
|
|
Face Detection (SP)
|
100% |
670
7.96 IPS |
|
|
Face Detection (HP)
|
100% |
16830
200.0 IPS |
|
|
Face Detection (Q)
|
97% |
40407
481.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
593
4.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
35136
270.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
42639
392.5 IPS |
|
|
Style Transfer (SP)
|
100% |
886
1.14 IPS |
|
|
Style Transfer (HP)
|
100% |
890
1.14 IPS |
|
|
Style Transfer (Q)
|
98% |
2242
2.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
332
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10253
378.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19346
716.9 IPS |
|
|
Text Classification (SP)
|
100% |
458
610.8 IPS |
|
|
Text Classification (HP)
|
100% |
457
610.2 IPS |
|
|
Text Classification (Q)
|
92% |
2223
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (Q)
|
57% |
459
11.2 IPS |
