Google Pixel 9 Pro
Geekbench AI Score
771
Single Precision Score
900
Half Precision Score
863
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fridriksa |
| Upload Date | March 08 2025 11:35 PM |
| Views | 3 |
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% |
461
85.7 IPS |
|
|
Image Classification (HP)
|
100% |
457
84.9 IPS |
|
|
Image Classification (Q)
|
99% |
455
84.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1042
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1123
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
509
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
713
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
708
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (HP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (Q)
|
83% |
547
44.2 IPS |
|
|
Face Detection (SP)
|
100% |
1837
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
2095
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
1690
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
999
7.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
1255
9.67 IPS |
|
|
Depth Estimation (Q)
|
62% |
1013
9.58 IPS |
|
|
Style Transfer (SP)
|
100% |
2686
3.45 IPS |
|
|
Style Transfer (HP)
|
100% |
3594
4.62 IPS |
|
|
Style Transfer (Q)
|
98% |
3552
4.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
566
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
675
24.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
657
24.3 IPS |
|
|
Text Classification (SP)
|
100% |
429
572.9 IPS |
|
|
Text Classification (HP)
|
100% |
428
571.2 IPS |
|
|
Text Classification (Q)
|
91% |
667
896.4 IPS |
|
|
Machine Translation (SP)
|
100% |
621
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (Q)
|
57% |
436
10.7 IPS |
