Google Pixel 9 Pro XL
Geekbench AI Score
328
Single Precision Score
4584
Half Precision Score
9087
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 15 2025 11:44 AM |
| Views | 3 |
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% |
273
50.8 IPS |
|
|
Image Classification (HP)
|
100% |
6913
1.29 KIPS |
|
|
Image Classification (Q)
|
99% |
9809
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
342
5.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
8800
142.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18701
304.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
423
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
32101
37.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
65775
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
5592
443.6 IPS |
|
|
Object Detection (Q)
|
87% |
7791
624.9 IPS |
|
|
Face Detection (SP)
|
100% |
418
4.97 IPS |
|
|
Face Detection (HP)
|
100% |
14924
177.3 IPS |
|
|
Face Detection (Q)
|
97% |
28902
344.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
389
3.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
35100
270.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
41848
385.2 IPS |
|
|
Style Transfer (SP)
|
100% |
558
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
558
0.72 IPS |
|
|
Style Transfer (Q)
|
72% |
2833
3.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10391
383.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19205
711.6 IPS |
|
|
Text Classification (SP)
|
100% |
283
378.2 IPS |
|
|
Text Classification (HP)
|
100% |
283
377.8 IPS |
|
|
Text Classification (Q)
|
92% |
2203
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
438
7.55 IPS |
|
|
Machine Translation (HP)
|
100% |
437
7.53 IPS |
|
|
Machine Translation (Q)
|
57% |
282
6.89 IPS |
