Google Pixel 9 Pro
Geekbench AI Score
2035
Single Precision Score
2050
Half Precision Score
2888
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | sugooooi |
| Upload Date | November 07 2025 03:53 AM |
| Views | 4 |
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% |
1435
266.9 IPS |
|
|
Image Classification (HP)
|
100% |
1589
295.5 IPS |
|
|
Image Classification (Q)
|
100% |
2463
458.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2520
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2928
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2841
3.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
6342
7.52 IPS |
|
|
Object Detection (SP)
|
98% |
1483
118.0 IPS |
|
|
Object Detection (HP)
|
98% |
1471
117.1 IPS |
|
|
Object Detection (Q)
|
83% |
2174
175.6 IPS |
|
|
Face Detection (SP)
|
100% |
2932
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
2882
34.2 IPS |
|
|
Face Detection (Q)
|
95% |
4994
59.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3154
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3148
24.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5012
45.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7025
9.12 IPS |
|
|
Style Transfer (HP)
|
89% |
7042
9.14 IPS |
|
|
Style Transfer (Q)
|
98% |
13360
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1575
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1599
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1479
54.8 IPS |
|
|
Text Classification (SP)
|
100% |
688
918.2 IPS |
|
|
Text Classification (HP)
|
99% |
723
964.7 IPS |
|
|
Text Classification (Q)
|
88% |
1313
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1527
26.3 IPS |
|
|
Machine Translation (Q)
|
50% |
728
25.8 IPS |
