Google Pixel 9 Pro XL
Geekbench AI Score
388
Single Precision Score
4980
Half Precision Score
10079
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Dadecil |
| Upload Date | September 19 2025 03:29 PM |
| Views | 4 |
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% |
237
44.1 IPS |
|
|
Image Classification (HP)
|
100% |
6299
1.17 KIPS |
|
|
Image Classification (Q)
|
99% |
11290
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
9845
159.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21956
357.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
363
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
31824
37.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
65335
76.5 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
5253
416.7 IPS |
|
|
Object Detection (Q)
|
87% |
7229
579.9 IPS |
|
|
Face Detection (SP)
|
100% |
579
6.88 IPS |
|
|
Face Detection (HP)
|
100% |
16198
192.5 IPS |
|
|
Face Detection (Q)
|
97% |
33722
402.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
509
3.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
34718
267.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
42388
390.2 IPS |
|
|
Style Transfer (SP)
|
100% |
733
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
767
0.99 IPS |
|
|
Style Transfer (Q)
|
73% |
3184
4.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
284
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10850
400.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18947
702.1 IPS |
|
|
Text Classification (SP)
|
100% |
359
478.7 IPS |
|
|
Text Classification (HP)
|
100% |
364
486.1 IPS |
|
|
Text Classification (Q)
|
92% |
2830
3.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
552
9.51 IPS |
|
|
Machine Translation (HP)
|
100% |
532
9.17 IPS |
|
|
Machine Translation (Q)
|
57% |
379
9.26 IPS |
