Google Pixel 9 Pro XL
Geekbench AI Score
1985
Single Precision Score
2000
Half Precision Score
3100
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 09:27 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 | 15.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1428
265.5 IPS |
|
|
Image Classification (HP)
|
100% |
1591
295.9 IPS |
|
|
Image Classification (Q)
|
100% |
2451
455.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1733
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2566
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2805
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2770
3.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
6064
7.19 IPS |
|
|
Object Detection (SP)
|
98% |
1464
116.5 IPS |
|
|
Object Detection (HP)
|
98% |
1430
113.8 IPS |
|
|
Object Detection (Q)
|
83% |
2159
174.4 IPS |
|
|
Face Detection (SP)
|
100% |
2893
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
2900
34.5 IPS |
|
|
Face Detection (Q)
|
95% |
4944
59.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2765
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2929
22.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4785
43.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6888
8.94 IPS |
|
|
Style Transfer (HP)
|
89% |
6753
8.77 IPS |
|
|
Style Transfer (Q)
|
98% |
12906
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1570
58.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1544
57.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3531
130.9 IPS |
|
|
Text Classification (SP)
|
100% |
728
971.7 IPS |
|
|
Text Classification (HP)
|
99% |
712
950.5 IPS |
|
|
Text Classification (Q)
|
88% |
1313
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1441
24.8 IPS |
|
|
Machine Translation (Q)
|
50% |
704
25.0 IPS |
