Google Pixel 9 Pro XL
Geekbench AI Score
1909
Single Precision Score
1950
Half Precision Score
2956
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 09:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| 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% |
1291
240.1 IPS |
|
|
Image Classification (HP)
|
100% |
1518
282.4 IPS |
|
|
Image Classification (Q)
|
100% |
1918
356.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2399
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2859
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2749
3.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
6377
7.56 IPS |
|
|
Object Detection (SP)
|
98% |
1480
117.7 IPS |
|
|
Object Detection (HP)
|
98% |
1490
118.6 IPS |
|
|
Object Detection (Q)
|
83% |
1919
155.0 IPS |
|
|
Face Detection (SP)
|
100% |
2785
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
2779
33.0 IPS |
|
|
Face Detection (Q)
|
95% |
4858
58.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2978
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2986
23.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5032
46.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6708
8.71 IPS |
|
|
Style Transfer (HP)
|
89% |
6721
8.73 IPS |
|
|
Style Transfer (Q)
|
98% |
13137
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1482
54.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1524
56.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3351
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
674
899.1 IPS |
|
|
Text Classification (HP)
|
99% |
675
900.8 IPS |
|
|
Text Classification (Q)
|
88% |
1155
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1384
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1446
24.9 IPS |
|
|
Machine Translation (Q)
|
50% |
730
25.9 IPS |
