Google Pixel 9
Geekbench AI Score
1321
Single Precision Score
1306
Half Precision Score
1829
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 12:49 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 |
| Model ID | Google Pixel 9 |
| Motherboard | tokay |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
1403
260.8 IPS |
|
|
Image Classification (Q)
|
100% |
2243
417.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1553
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1494
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2363
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2635
3.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2575
3.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
5379
6.38 IPS |
|
|
Object Detection (SP)
|
98% |
1040
82.8 IPS |
|
|
Object Detection (HP)
|
98% |
1125
89.5 IPS |
|
|
Object Detection (Q)
|
83% |
1207
97.5 IPS |
|
|
Face Detection (SP)
|
100% |
1879
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
1855
22.0 IPS |
|
|
Face Detection (Q)
|
95% |
2664
31.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1873
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1884
14.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2561
23.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3775
4.90 IPS |
|
|
Style Transfer (HP)
|
89% |
3755
4.87 IPS |
|
|
Style Transfer (Q)
|
98% |
7197
9.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
796
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
708
26.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1575
58.3 IPS |
|
|
Text Classification (SP)
|
100% |
316
422.4 IPS |
|
|
Text Classification (HP)
|
99% |
312
416.9 IPS |
|
|
Text Classification (Q)
|
88% |
461
621.8 IPS |
|
|
Machine Translation (SP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
821
14.1 IPS |
|
|
Machine Translation (Q)
|
50% |
343
12.2 IPS |
