Google Pixel 9 Pro XL
Geekbench AI Score
359
Single Precision Score
3982
Half Precision Score
9315
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Skyforger |
| Upload Date | October 24 2025 12:47 AM |
| 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% |
252
46.9 IPS |
|
|
Image Classification (HP)
|
100% |
1655
307.7 IPS |
|
|
Image Classification (Q)
|
99% |
8672
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
318
5.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
6600
107.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19604
318.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
380
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
32045
37.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
65167
76.3 IPS |
|
|
Object Detection (SP)
|
100% |
206
16.3 IPS |
|
|
Object Detection (HP)
|
100% |
5354
424.7 IPS |
|
|
Object Detection (Q)
|
87% |
7507
602.2 IPS |
|
|
Face Detection (SP)
|
100% |
412
4.90 IPS |
|
|
Face Detection (HP)
|
100% |
14932
177.4 IPS |
|
|
Face Detection (Q)
|
97% |
29469
351.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
457
3.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
35045
270.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
42808
394.1 IPS |
|
|
Style Transfer (SP)
|
100% |
677
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
665
0.85 IPS |
|
|
Style Transfer (Q)
|
73% |
2912
3.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
263
9.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10387
383.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19572
725.2 IPS |
|
|
Text Classification (SP)
|
100% |
334
445.8 IPS |
|
|
Text Classification (HP)
|
100% |
335
446.7 IPS |
|
|
Text Classification (Q)
|
92% |
2518
3.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
509
8.77 IPS |
|
|
Machine Translation (HP)
|
100% |
442
7.61 IPS |
|
|
Machine Translation (Q)
|
57% |
327
7.98 IPS |
