Google Pixel 9 Pro
Geekbench AI Score
764
Single Precision Score
905
Half Precision Score
859
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 06:15 PM |
| 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 |
| 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% |
456
84.9 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.0 IPS |
|
|
Image Classification (Q)
|
99% |
449
83.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1027
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1235
20.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1112
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
508
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
712
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
706
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (HP)
|
100% |
535
42.4 IPS |
|
|
Object Detection (Q)
|
83% |
548
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
1823
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
2069
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
1679
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
992
7.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
1252
9.65 IPS |
|
|
Depth Estimation (Q)
|
62% |
1006
9.53 IPS |
|
|
Style Transfer (SP)
|
100% |
2689
3.46 IPS |
|
|
Style Transfer (HP)
|
100% |
3577
4.60 IPS |
|
|
Style Transfer (Q)
|
98% |
3529
4.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
567
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
677
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
654
24.2 IPS |
|
|
Text Classification (SP)
|
100% |
416
555.3 IPS |
|
|
Text Classification (HP)
|
100% |
421
561.9 IPS |
|
|
Text Classification (Q)
|
91% |
703
945.1 IPS |
|
|
Machine Translation (SP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
581
10.0 IPS |
|
|
Machine Translation (Q)
|
57% |
414
10.1 IPS |
