Google Pixel 9
Geekbench AI Score
1942
Single Precision Score
1962
Half Precision Score
3012
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 08:21 PM |
| 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 |
| 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% |
1551
288.3 IPS |
|
|
Image Classification (HP)
|
100% |
1500
279.0 IPS |
|
|
Image Classification (Q)
|
100% |
2419
449.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1719
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2492
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2900
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2866
3.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
6198
7.35 IPS |
|
|
Object Detection (SP)
|
98% |
1420
113.0 IPS |
|
|
Object Detection (HP)
|
98% |
1481
117.9 IPS |
|
|
Object Detection (Q)
|
83% |
2189
176.8 IPS |
|
|
Face Detection (SP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
2919
34.7 IPS |
|
|
Face Detection (Q)
|
95% |
4942
59.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3137
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3128
24.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5004
45.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6958
9.03 IPS |
|
|
Style Transfer (HP)
|
89% |
6992
9.08 IPS |
|
|
Style Transfer (Q)
|
98% |
13441
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1571
58.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3457
128.1 IPS |
|
|
Text Classification (SP)
|
100% |
494
658.7 IPS |
|
|
Text Classification (HP)
|
99% |
657
877.5 IPS |
|
|
Text Classification (Q)
|
88% |
1167
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1379
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (Q)
|
50% |
561
19.9 IPS |
