Google Pixel 9
Geekbench AI Score
340
Single Precision Score
4488
Half Precision Score
9254
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 10:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
245
45.5 IPS |
|
|
Image Classification (HP)
|
100% |
6975
1.30 KIPS |
|
|
Image Classification (Q)
|
99% |
10319
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
8948
145.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18205
296.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
390
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
31816
37.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
66502
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
5382
426.9 IPS |
|
|
Object Detection (Q)
|
87% |
7540
604.8 IPS |
|
|
Face Detection (SP)
|
100% |
523
6.21 IPS |
|
|
Face Detection (HP)
|
100% |
16425
195.2 IPS |
|
|
Face Detection (Q)
|
97% |
29348
349.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
466
3.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
35303
272.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
42109
387.6 IPS |
|
|
Style Transfer (SP)
|
100% |
546
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
555
0.71 IPS |
|
|
Style Transfer (Q)
|
72% |
2873
3.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
260
9.59 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10179
375.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19297
715.1 IPS |
|
|
Text Classification (SP)
|
100% |
226
302.2 IPS |
|
|
Text Classification (HP)
|
100% |
214
285.7 IPS |
|
|
Text Classification (Q)
|
92% |
2124
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
440
7.57 IPS |
|
|
Machine Translation (HP)
|
100% |
443
7.63 IPS |
|
|
Machine Translation (Q)
|
57% |
336
8.21 IPS |
