Google Pixel 9 Pro XL
Geekbench AI Score
746
Single Precision Score
858
Half Precision Score
816
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fredstar |
| Upload Date | December 04 2024 03:54 PM |
| Views | 7 |
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% |
461
85.7 IPS |
|
|
Image Classification (HP)
|
100% |
483
89.8 IPS |
|
|
Image Classification (Q)
|
99% |
452
84.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
931
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1074
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
965
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
514
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
734
0.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
729
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (HP)
|
100% |
444
35.2 IPS |
|
|
Object Detection (Q)
|
83% |
444
35.9 IPS |
|
|
Face Detection (SP)
|
100% |
1482
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
1701
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
1372
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
987
7.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
1206
9.30 IPS |
|
|
Depth Estimation (Q)
|
62% |
973
9.21 IPS |
|
|
Style Transfer (SP)
|
100% |
2685
3.45 IPS |
|
|
Style Transfer (HP)
|
100% |
3496
4.49 IPS |
|
|
Style Transfer (Q)
|
98% |
3498
4.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
540
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
618
22.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
601
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.7 IPS |
|
|
Text Classification (HP)
|
100% |
454
605.4 IPS |
|
|
Text Classification (Q)
|
91% |
730
980.7 IPS |
|
|
Machine Translation (SP)
|
100% |
634
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
636
10.9 IPS |
|
|
Machine Translation (Q)
|
57% |
454
11.1 IPS |
