Google Pixel 9 Pro XL
Geekbench AI Score
307
Single Precision Score
4192
Half Precision Score
7949
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 01 2025 03:07 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% |
264
49.1 IPS |
|
|
Image Classification (HP)
|
100% |
6420
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
9443
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
318
5.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
7716
125.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17824
289.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
381
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
31685
37.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
62647
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (HP)
|
100% |
4643
368.3 IPS |
|
|
Object Detection (Q)
|
87% |
6304
505.7 IPS |
|
|
Face Detection (SP)
|
100% |
392
4.66 IPS |
|
|
Face Detection (HP)
|
100% |
14380
170.9 IPS |
|
|
Face Detection (Q)
|
97% |
26689
318.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
364
2.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
31577
243.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
36388
335.0 IPS |
|
|
Style Transfer (SP)
|
100% |
505
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
485
0.62 IPS |
|
|
Style Transfer (Q)
|
72% |
2678
3.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
196
7.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8918
329.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15553
576.3 IPS |
|
|
Text Classification (SP)
|
100% |
268
358.4 IPS |
|
|
Text Classification (HP)
|
100% |
268
358.0 IPS |
|
|
Text Classification (Q)
|
92% |
1464
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
409
7.05 IPS |
|
|
Machine Translation (HP)
|
100% |
437
7.54 IPS |
|
|
Machine Translation (Q)
|
57% |
256
6.26 IPS |
