Google Pixel 9 Pro
Geekbench AI Score
1481
Single Precision Score
1417
Half Precision Score
2003
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 02 2025 11:58 AM |
| Views | 3 |
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% |
1547
287.7 IPS |
|
|
Image Classification (HP)
|
100% |
1535
285.5 IPS |
|
|
Image Classification (Q)
|
100% |
2370
440.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1971
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2352
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
1954
2.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
4526
5.37 IPS |
|
|
Object Detection (SP)
|
98% |
933
74.3 IPS |
|
|
Object Detection (HP)
|
98% |
974
77.5 IPS |
|
|
Object Detection (Q)
|
83% |
1310
105.8 IPS |
|
|
Face Detection (SP)
|
100% |
2089
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
2066
24.6 IPS |
|
|
Face Detection (Q)
|
95% |
3203
38.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2157
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2135
16.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3154
28.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5120
6.65 IPS |
|
|
Style Transfer (HP)
|
89% |
4970
6.45 IPS |
|
|
Style Transfer (Q)
|
98% |
9835
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1058
39.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1043
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2402
89.0 IPS |
|
|
Text Classification (SP)
|
100% |
459
613.2 IPS |
|
|
Text Classification (HP)
|
99% |
385
514.1 IPS |
|
|
Text Classification (Q)
|
88% |
678
914.8 IPS |
|
|
Machine Translation (SP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
50% |
233
8.27 IPS |
