Google Pixel 9 Pro XL
Geekbench AI Score
417
Single Precision Score
4760
Half Precision Score
8593
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 14 2025 03:58 PM |
| Views | 1 |
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 | 14.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
272
50.5 IPS |
|
|
Image Classification (HP)
|
100% |
4764
886.0 IPS |
|
|
Image Classification (Q)
|
99% |
9206
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
333
5.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
8171
132.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16913
275.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
403
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
31418
36.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
62934
73.7 IPS |
|
|
Object Detection (SP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (HP)
|
100% |
4999
396.5 IPS |
|
|
Object Detection (Q)
|
87% |
6711
538.3 IPS |
|
|
Face Detection (SP)
|
100% |
608
7.22 IPS |
|
|
Face Detection (HP)
|
100% |
16174
192.2 IPS |
|
|
Face Detection (Q)
|
97% |
31685
377.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
532
4.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
31494
242.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
37996
349.8 IPS |
|
|
Style Transfer (SP)
|
100% |
789
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
794
1.02 IPS |
|
|
Style Transfer (Q)
|
72% |
3372
4.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9938
367.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15206
563.5 IPS |
|
|
Text Classification (SP)
|
100% |
412
549.8 IPS |
|
|
Text Classification (HP)
|
100% |
416
555.9 IPS |
|
|
Text Classification (Q)
|
92% |
1267
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
585
10.1 IPS |
|
|
Machine Translation (Q)
|
57% |
427
10.4 IPS |
