Google Pixel 9 Pro XL
Geekbench AI Score
777
Single Precision Score
917
Half Precision Score
867
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 12:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
463
86.1 IPS |
|
|
Image Classification (HP)
|
100% |
492
91.5 IPS |
|
|
Image Classification (Q)
|
99% |
453
84.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1110
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
508
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
712
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
707
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (HP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (Q)
|
83% |
546
44.2 IPS |
|
|
Face Detection (SP)
|
100% |
1792
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
2096
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
1675
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1002
7.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
1248
9.62 IPS |
|
|
Depth Estimation (Q)
|
62% |
1009
9.55 IPS |
|
|
Style Transfer (SP)
|
100% |
2682
3.45 IPS |
|
|
Style Transfer (HP)
|
100% |
3571
4.59 IPS |
|
|
Style Transfer (Q)
|
98% |
3531
4.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
563
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
678
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
650
24.1 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.5 IPS |
|
|
Text Classification (HP)
|
100% |
453
604.2 IPS |
|
|
Text Classification (Q)
|
91% |
725
973.9 IPS |
|
|
Machine Translation (SP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (Q)
|
57% |
442
10.8 IPS |
