Google Pixel 9 Pro XL
Geekbench AI Score
1974
Single Precision Score
1999
Half Precision Score
3066
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 14 2025 03:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1382
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
1581
294.0 IPS |
|
|
Image Classification (Q)
|
100% |
2313
430.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1724
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2448
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2741
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2745
3.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
6021
7.14 IPS |
|
|
Object Detection (SP)
|
98% |
1431
113.9 IPS |
|
|
Object Detection (HP)
|
98% |
1465
116.6 IPS |
|
|
Object Detection (Q)
|
83% |
2135
172.4 IPS |
|
|
Face Detection (SP)
|
100% |
2901
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
2797
33.2 IPS |
|
|
Face Detection (Q)
|
95% |
4863
58.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3012
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2999
23.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4804
44.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6813
8.84 IPS |
|
|
Style Transfer (HP)
|
89% |
6749
8.76 IPS |
|
|
Style Transfer (Q)
|
98% |
12942
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1511
55.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1521
56.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3598
133.3 IPS |
|
|
Text Classification (SP)
|
100% |
718
958.1 IPS |
|
|
Text Classification (HP)
|
99% |
716
955.0 IPS |
|
|
Text Classification (Q)
|
88% |
1294
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1493
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1465
25.2 IPS |
|
|
Machine Translation (Q)
|
50% |
717
25.4 IPS |
