Google Pixel 9 Pro
Geekbench AI Score
768
Single Precision Score
908
Half Precision Score
863
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 09 2025 10:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 9 Pro |
| Model ID | Google Pixel 9 Pro |
| Motherboard | caiman |
| 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% |
455
84.7 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.7 IPS |
|
|
Image Classification (Q)
|
99% |
450
83.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1027
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1262
20.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1109
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
509
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
713
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
707
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (HP)
|
100% |
531
42.2 IPS |
|
|
Object Detection (Q)
|
83% |
546
44.2 IPS |
|
|
Face Detection (SP)
|
100% |
1806
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
2082
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
1662
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
994
7.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
1242
9.57 IPS |
|
|
Depth Estimation (Q)
|
62% |
1004
9.51 IPS |
|
|
Style Transfer (SP)
|
100% |
2684
3.45 IPS |
|
|
Style Transfer (HP)
|
100% |
3570
4.59 IPS |
|
|
Style Transfer (Q)
|
98% |
3524
4.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
566
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
674
24.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
651
24.1 IPS |
|
|
Text Classification (SP)
|
100% |
436
581.9 IPS |
|
|
Text Classification (HP)
|
100% |
430
574.2 IPS |
|
|
Text Classification (Q)
|
91% |
720
968.3 IPS |
|
|
Machine Translation (SP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (Q)
|
57% |
433
10.6 IPS |
