Google Pixel 9 Pro XL
Geekbench AI Score
769
Single Precision Score
895
Half Precision Score
853
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 12:13 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% |
454
84.4 IPS |
|
|
Image Classification (HP)
|
100% |
451
83.9 IPS |
|
|
Image Classification (Q)
|
99% |
455
84.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1065
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1171
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
509
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
713
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
706
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
428
34.0 IPS |
|
|
Object Detection (HP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (Q)
|
83% |
553
44.7 IPS |
|
|
Face Detection (SP)
|
100% |
1826
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
2109
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
1729
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1000
7.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
1261
9.71 IPS |
|
|
Depth Estimation (Q)
|
62% |
1013
9.59 IPS |
|
|
Style Transfer (SP)
|
100% |
2684
3.45 IPS |
|
|
Style Transfer (HP)
|
100% |
3579
4.60 IPS |
|
|
Style Transfer (Q)
|
98% |
3532
4.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
576
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
680
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
660
24.4 IPS |
|
|
Text Classification (SP)
|
100% |
418
557.9 IPS |
|
|
Text Classification (HP)
|
100% |
415
554.4 IPS |
|
|
Text Classification (Q)
|
91% |
695
933.8 IPS |
|
|
Machine Translation (SP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
574
9.89 IPS |
|
|
Machine Translation (Q)
|
57% |
349
8.54 IPS |
