Google Pixel 9
Geekbench AI Score
2037
Single Precision Score
2069
Half Precision Score
3154
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 12:08 PM |
| Views | 2 |
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% |
1429
265.8 IPS |
|
|
Image Classification (HP)
|
100% |
1549
288.0 IPS |
|
|
Image Classification (Q)
|
100% |
2409
448.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1726
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2493
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2943
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2903
3.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
6528
7.74 IPS |
|
|
Object Detection (SP)
|
98% |
1534
122.1 IPS |
|
|
Object Detection (HP)
|
98% |
1563
124.4 IPS |
|
|
Object Detection (Q)
|
83% |
2156
174.1 IPS |
|
|
Face Detection (SP)
|
100% |
2973
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
3057
36.3 IPS |
|
|
Face Detection (Q)
|
95% |
4949
59.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3051
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3195
24.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5083
46.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7246
9.41 IPS |
|
|
Style Transfer (HP)
|
89% |
7088
9.20 IPS |
|
|
Style Transfer (Q)
|
98% |
14068
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1617
59.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3625
134.3 IPS |
|
|
Text Classification (SP)
|
100% |
674
900.2 IPS |
|
|
Text Classification (HP)
|
99% |
711
949.1 IPS |
|
|
Text Classification (Q)
|
88% |
1267
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1543
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1495
25.8 IPS |
|
|
Machine Translation (Q)
|
50% |
710
25.2 IPS |
