Google Pixel 9 Pro
Geekbench AI Score
987
Single Precision Score
979
Half Precision Score
1310
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | leow149 |
| Upload Date | July 01 2025 07:01 PM |
| Views | 5 |
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% |
612
113.8 IPS |
|
|
Image Classification (HP)
|
100% |
625
116.3 IPS |
|
|
Image Classification (Q)
|
100% |
1048
194.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
764
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
805
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1167
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2664
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2231
2.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
3214
3.81 IPS |
|
|
Object Detection (SP)
|
98% |
721
57.3 IPS |
|
|
Object Detection (HP)
|
98% |
722
57.5 IPS |
|
|
Object Detection (Q)
|
83% |
1022
82.5 IPS |
|
|
Face Detection (SP)
|
100% |
1433
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
1395
16.6 IPS |
|
|
Face Detection (Q)
|
95% |
1151
13.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1350
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1458
11.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2176
19.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3283
4.26 IPS |
|
|
Style Transfer (HP)
|
89% |
3310
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
6482
8.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
686
25.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
672
24.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1647
61.0 IPS |
|
|
Text Classification (SP)
|
100% |
317
423.8 IPS |
|
|
Text Classification (HP)
|
99% |
320
427.6 IPS |
|
|
Text Classification (Q)
|
88% |
509
686.9 IPS |
|
|
Machine Translation (SP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (Q)
|
50% |
273
9.68 IPS |
