Google Pixel 9 Pro XL
Geekbench AI Score
443
Single Precision Score
4918
Half Precision Score
8231
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | AndrewReynosa |
| Upload Date | January 06 2025 11:25 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
281
52.3 IPS |
|
|
Image Classification (HP)
|
100% |
5956
1.11 KIPS |
|
|
Image Classification (Q)
|
99% |
6377
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
8711
141.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15692
255.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
453
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
31562
36.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
63260
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (HP)
|
100% |
4996
396.2 IPS |
|
|
Object Detection (Q)
|
87% |
7564
606.8 IPS |
|
|
Face Detection (SP)
|
100% |
644
7.65 IPS |
|
|
Face Detection (HP)
|
100% |
15940
189.4 IPS |
|
|
Face Detection (Q)
|
97% |
33218
396.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
570
4.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
31757
244.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
34972
321.9 IPS |
|
|
Style Transfer (SP)
|
100% |
835
1.07 IPS |
|
|
Style Transfer (HP)
|
100% |
832
1.07 IPS |
|
|
Style Transfer (Q)
|
73% |
3523
4.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
301
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9243
341.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15022
556.6 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.1 IPS |
|
|
Text Classification (HP)
|
100% |
432
577.1 IPS |
|
|
Text Classification (Q)
|
92% |
1126
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
431
10.5 IPS |
