Google Pixel 9 Pro XL
Geekbench AI Score
2039
Single Precision Score
2040
Half Precision Score
3112
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 28 2025 01:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1391
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
1450
269.6 IPS |
|
|
Image Classification (Q)
|
100% |
2370
440.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1741
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1755
28.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2465
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3001
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2934
3.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
6513
7.72 IPS |
|
|
Object Detection (SP)
|
98% |
1473
117.2 IPS |
|
|
Object Detection (HP)
|
98% |
1597
127.1 IPS |
|
|
Object Detection (Q)
|
83% |
2033
164.2 IPS |
|
|
Face Detection (SP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
2948
35.0 IPS |
|
|
Face Detection (Q)
|
95% |
4877
58.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2967
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3065
23.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4994
45.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7321
9.50 IPS |
|
|
Style Transfer (HP)
|
89% |
7147
9.28 IPS |
|
|
Style Transfer (Q)
|
98% |
14118
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1572
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3586
132.9 IPS |
|
|
Text Classification (SP)
|
100% |
679
906.7 IPS |
|
|
Text Classification (HP)
|
99% |
687
916.3 IPS |
|
|
Text Classification (Q)
|
88% |
1203
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1612
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1526
26.3 IPS |
|
|
Machine Translation (Q)
|
50% |
744
26.4 IPS |
