Google Pixel 9 Pro XL
Geekbench AI Score
2074
Single Precision Score
2079
Half Precision Score
3150
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 08:16 AM |
| Views | 2 |
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% |
1484
276.1 IPS |
|
|
Image Classification (HP)
|
100% |
1577
293.2 IPS |
|
|
Image Classification (Q)
|
100% |
2448
455.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1762
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2539
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2974
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2914
3.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
6466
7.67 IPS |
|
|
Object Detection (SP)
|
98% |
1566
124.6 IPS |
|
|
Object Detection (HP)
|
98% |
1554
123.6 IPS |
|
|
Object Detection (Q)
|
83% |
2256
182.2 IPS |
|
|
Face Detection (SP)
|
100% |
3051
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
3053
36.3 IPS |
|
|
Face Detection (Q)
|
95% |
4771
57.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2977
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3174
24.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5060
46.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7188
9.33 IPS |
|
|
Style Transfer (HP)
|
89% |
7025
9.12 IPS |
|
|
Style Transfer (Q)
|
98% |
14019
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1621
59.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1565
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3567
132.2 IPS |
|
|
Text Classification (SP)
|
100% |
730
973.7 IPS |
|
|
Text Classification (HP)
|
99% |
736
982.3 IPS |
|
|
Text Classification (Q)
|
88% |
1161
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1530
26.4 IPS |
|
|
Machine Translation (Q)
|
50% |
757
26.9 IPS |
