Google Pixel 9 Pro XL
Geekbench AI Score
2077
Single Precision Score
2108
Half Precision Score
3146
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 08 2025 11:07 AM |
| Views | 1 |
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% |
1426
265.2 IPS |
|
|
Image Classification (HP)
|
100% |
1601
297.8 IPS |
|
|
Image Classification (Q)
|
100% |
2376
441.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1789
29.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2502
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3008
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2921
3.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
6472
7.68 IPS |
|
|
Object Detection (SP)
|
98% |
1547
123.1 IPS |
|
|
Object Detection (HP)
|
98% |
1572
125.1 IPS |
|
|
Object Detection (Q)
|
83% |
2028
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3015
35.8 IPS |
|
|
Face Detection (Q)
|
95% |
4939
59.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3101
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3243
25.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5083
46.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7167
9.30 IPS |
|
|
Style Transfer (HP)
|
89% |
7045
9.15 IPS |
|
|
Style Transfer (Q)
|
98% |
13547
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1587
58.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1631
60.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3581
132.7 IPS |
|
|
Text Classification (SP)
|
100% |
722
964.0 IPS |
|
|
Text Classification (HP)
|
99% |
735
980.7 IPS |
|
|
Text Classification (Q)
|
88% |
1319
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1642
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (Q)
|
50% |
758
26.9 IPS |
