Google Pixel 9 Pro XL
Geekbench AI Score
752
Single Precision Score
898
Half Precision Score
855
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | timk |
| Upload Date | June 11 2025 01:08 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 14.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
453
84.2 IPS |
|
|
Image Classification (HP)
|
100% |
453
84.2 IPS |
|
|
Image Classification (Q)
|
99% |
454
84.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
787
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1054
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
531
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
742
0.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
737
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (HP)
|
100% |
549
43.5 IPS |
|
|
Object Detection (Q)
|
83% |
557
45.1 IPS |
|
|
Face Detection (SP)
|
100% |
1855
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
2178
25.9 IPS |
|
|
Face Detection (Q)
|
97% |
2042
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1010
7.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
1252
9.65 IPS |
|
|
Depth Estimation (Q)
|
62% |
1022
9.67 IPS |
|
|
Style Transfer (SP)
|
100% |
2769
3.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3609
4.64 IPS |
|
|
Style Transfer (Q)
|
98% |
3572
4.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
588
21.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
677
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
659
24.4 IPS |
|
|
Text Classification (SP)
|
100% |
414
552.8 IPS |
|
|
Text Classification (HP)
|
100% |
407
543.7 IPS |
|
|
Text Classification (Q)
|
91% |
695
933.6 IPS |
|
|
Machine Translation (SP)
|
100% |
580
9.98 IPS |
|
|
Machine Translation (HP)
|
100% |
563
9.69 IPS |
|
|
Machine Translation (Q)
|
57% |
313
7.65 IPS |
