Google Pixel 9 Pro XL
Geekbench AI Score
1916
Single Precision Score
2012
Half Precision Score
3079
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 11:48 PM |
| 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% |
915
170.2 IPS |
|
|
Image Classification (HP)
|
100% |
1530
284.6 IPS |
|
|
Image Classification (Q)
|
100% |
2325
432.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1725
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1697
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2403
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2779
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2830
3.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
6311
7.48 IPS |
|
|
Object Detection (SP)
|
98% |
1509
120.1 IPS |
|
|
Object Detection (HP)
|
98% |
1476
117.4 IPS |
|
|
Object Detection (Q)
|
83% |
2110
170.5 IPS |
|
|
Face Detection (SP)
|
100% |
2978
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
2937
34.9 IPS |
|
|
Face Detection (Q)
|
95% |
4852
57.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3049
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3066
23.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5035
46.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7127
9.25 IPS |
|
|
Style Transfer (HP)
|
89% |
7046
9.15 IPS |
|
|
Style Transfer (Q)
|
98% |
13854
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1491
55.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1535
56.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3537
131.1 IPS |
|
|
Text Classification (SP)
|
100% |
668
892.0 IPS |
|
|
Text Classification (HP)
|
99% |
675
900.7 IPS |
|
|
Text Classification (Q)
|
88% |
1167
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1571
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1525
26.3 IPS |
|
|
Machine Translation (Q)
|
50% |
739
26.2 IPS |
