Google Pixel 9
Geekbench AI Score
2061
Single Precision Score
2075
Half Precision Score
3156
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 04:24 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% |
1579
293.7 IPS |
|
|
Image Classification (HP)
|
100% |
1514
281.6 IPS |
|
|
Image Classification (Q)
|
100% |
2400
446.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1711
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1732
28.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2493
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2986
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2884
3.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
6574
7.80 IPS |
|
|
Object Detection (SP)
|
98% |
1422
113.2 IPS |
|
|
Object Detection (HP)
|
98% |
1560
124.1 IPS |
|
|
Object Detection (Q)
|
83% |
2159
174.4 IPS |
|
|
Face Detection (SP)
|
100% |
2983
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
3052
36.3 IPS |
|
|
Face Detection (Q)
|
95% |
4856
58.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3165
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3190
24.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5058
46.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7049
9.15 IPS |
|
|
Style Transfer (HP)
|
89% |
7164
9.30 IPS |
|
|
Style Transfer (Q)
|
98% |
13849
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1662
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3634
134.6 IPS |
|
|
Text Classification (SP)
|
100% |
710
947.7 IPS |
|
|
Text Classification (HP)
|
99% |
709
946.0 IPS |
|
|
Text Classification (Q)
|
88% |
1259
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1536
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1512
26.1 IPS |
|
|
Machine Translation (Q)
|
50% |
744
26.4 IPS |
