Google Pixel 9 Pro
Geekbench AI Score
1412
Single Precision Score
1410
Half Precision Score
2135
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 08:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1367
254.3 IPS |
|
|
Image Classification (HP)
|
100% |
1444
268.5 IPS |
|
|
Image Classification (Q)
|
100% |
2171
403.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1458
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1859
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2275
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1867
2.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
4572
5.42 IPS |
|
|
Object Detection (SP)
|
98% |
1001
79.6 IPS |
|
|
Object Detection (HP)
|
98% |
1006
80.1 IPS |
|
|
Object Detection (Q)
|
83% |
1312
106.0 IPS |
|
|
Face Detection (SP)
|
100% |
2101
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2089
24.8 IPS |
|
|
Face Detection (Q)
|
95% |
3282
39.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2119
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2126
16.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3238
29.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5003
6.49 IPS |
|
|
Style Transfer (HP)
|
89% |
4077
5.29 IPS |
|
|
Style Transfer (Q)
|
98% |
9933
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1002
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2275
84.3 IPS |
|
|
Text Classification (SP)
|
100% |
317
422.9 IPS |
|
|
Text Classification (HP)
|
99% |
464
618.8 IPS |
|
|
Text Classification (Q)
|
88% |
767
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
990
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (Q)
|
50% |
443
15.7 IPS |
