Google Pixel 9 Pro XL
Geekbench AI Score
371
Single Precision Score
4103
Half Precision Score
7614
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 08 2025 09:31 PM |
| Views | 6 |
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% |
4398
817.9 IPS |
|
|
Image Classification (Q)
|
99% |
6354
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
346
5.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
7679
124.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17329
281.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
425
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
31430
36.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
63324
74.2 IPS |
|
|
Object Detection (SP)
|
100% |
249
19.8 IPS |
|
|
Object Detection (HP)
|
100% |
4732
375.4 IPS |
|
|
Object Detection (Q)
|
87% |
6415
514.6 IPS |
|
|
Face Detection (SP)
|
100% |
620
7.37 IPS |
|
|
Face Detection (HP)
|
100% |
15895
188.9 IPS |
|
|
Face Detection (Q)
|
97% |
32257
384.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
545
4.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
34164
263.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
37192
342.4 IPS |
|
|
Style Transfer (SP)
|
100% |
729
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
516
0.66 IPS |
|
|
Style Transfer (Q)
|
72% |
2351
3.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
208
7.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8475
313.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14612
541.4 IPS |
|
|
Text Classification (SP)
|
100% |
225
300.6 IPS |
|
|
Text Classification (HP)
|
100% |
282
377.0 IPS |
|
|
Text Classification (Q)
|
92% |
1091
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
430
7.41 IPS |
|
|
Machine Translation (HP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (Q)
|
57% |
326
7.96 IPS |
