Google Pixel 9 Pro XL
Geekbench AI Score
2037
Single Precision Score
2036
Half Precision Score
3151
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | casperswift |
| Upload Date | February 05 2025 09:07 PM |
| Views | 5 |
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% |
1387
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
1393
259.0 IPS |
|
|
Image Classification (Q)
|
100% |
2462
457.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1722
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2460
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2962
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2859
3.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
6477
7.68 IPS |
|
|
Object Detection (SP)
|
98% |
1528
121.6 IPS |
|
|
Object Detection (HP)
|
98% |
1540
122.5 IPS |
|
|
Object Detection (Q)
|
83% |
2166
175.0 IPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
2973
35.3 IPS |
|
|
Face Detection (Q)
|
95% |
4767
56.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3004
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3086
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5055
46.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7027
9.12 IPS |
|
|
Style Transfer (HP)
|
89% |
7072
9.18 IPS |
|
|
Style Transfer (Q)
|
98% |
13762
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1538
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1572
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3635
134.7 IPS |
|
|
Text Classification (SP)
|
100% |
728
971.2 IPS |
|
|
Text Classification (HP)
|
99% |
725
968.0 IPS |
|
|
Text Classification (Q)
|
88% |
1273
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1597
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1535
26.4 IPS |
|
|
Machine Translation (Q)
|
50% |
742
26.3 IPS |
