Google Pixel 9 Pro XL
Geekbench AI Score
1705
Single Precision Score
1708
Half Precision Score
2503
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 11:32 PM |
| 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% |
1408
261.8 IPS |
|
|
Image Classification (HP)
|
100% |
1514
281.5 IPS |
|
|
Image Classification (Q)
|
100% |
2281
424.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1712
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2338
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2819
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2791
3.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
6310
7.48 IPS |
|
|
Object Detection (SP)
|
98% |
1461
116.3 IPS |
|
|
Object Detection (HP)
|
98% |
1490
118.6 IPS |
|
|
Object Detection (Q)
|
83% |
1911
154.3 IPS |
|
|
Face Detection (SP)
|
100% |
2877
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
2871
34.1 IPS |
|
|
Face Detection (Q)
|
95% |
4794
57.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2929
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2934
22.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4142
37.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5463
7.09 IPS |
|
|
Style Transfer (HP)
|
89% |
5480
7.11 IPS |
|
|
Style Transfer (Q)
|
98% |
9824
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1103
40.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1044
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2400
88.9 IPS |
|
|
Text Classification (SP)
|
100% |
436
582.3 IPS |
|
|
Text Classification (HP)
|
99% |
443
591.0 IPS |
|
|
Text Classification (Q)
|
88% |
730
984.8 IPS |
|
|
Machine Translation (SP)
|
100% |
955
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (Q)
|
50% |
440
15.6 IPS |
