Google Pixel 9 Pro
Geekbench AI Score
1948
Single Precision Score
1938
Half Precision Score
2945
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 08 2025 10:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1314
244.4 IPS |
|
|
Image Classification (HP)
|
100% |
1547
287.7 IPS |
|
|
Image Classification (Q)
|
100% |
2298
427.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1726
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2393
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2888
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2786
3.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
5986
7.10 IPS |
|
|
Object Detection (SP)
|
98% |
1418
112.8 IPS |
|
|
Object Detection (HP)
|
98% |
1336
106.3 IPS |
|
|
Object Detection (Q)
|
83% |
2020
163.2 IPS |
|
|
Face Detection (SP)
|
100% |
2779
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
2755
32.7 IPS |
|
|
Face Detection (Q)
|
95% |
4607
55.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3076
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3079
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4858
44.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6913
8.97 IPS |
|
|
Style Transfer (HP)
|
89% |
6896
8.95 IPS |
|
|
Style Transfer (Q)
|
98% |
13206
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1488
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1493
55.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3468
128.5 IPS |
|
|
Text Classification (SP)
|
100% |
660
881.1 IPS |
|
|
Text Classification (HP)
|
99% |
664
886.3 IPS |
|
|
Text Classification (Q)
|
88% |
1127
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1467
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (Q)
|
50% |
639
22.7 IPS |
