Google Pixel 9
Geekbench AI Score
336
Single Precision Score
4260
Half Precision Score
7974
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 01:14 AM |
| Views | 1 |
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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
244
45.4 IPS |
|
|
Image Classification (HP)
|
100% |
5293
984.4 IPS |
|
|
Image Classification (Q)
|
99% |
7956
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
306
4.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
8588
139.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19265
313.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
382
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
31468
36.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
63357
74.2 IPS |
|
|
Object Detection (SP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (HP)
|
100% |
4907
389.2 IPS |
|
|
Object Detection (Q)
|
87% |
6375
511.4 IPS |
|
|
Face Detection (SP)
|
100% |
440
5.23 IPS |
|
|
Face Detection (HP)
|
100% |
14433
171.5 IPS |
|
|
Face Detection (Q)
|
97% |
28736
342.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
441
3.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
30799
237.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
36338
334.5 IPS |
|
|
Style Transfer (SP)
|
100% |
542
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
543
0.70 IPS |
|
|
Style Transfer (Q)
|
73% |
2524
3.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
222
8.20 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8853
326.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16586
614.6 IPS |
|
|
Text Classification (SP)
|
100% |
301
402.2 IPS |
|
|
Text Classification (HP)
|
100% |
303
404.6 IPS |
|
|
Text Classification (Q)
|
92% |
1479
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
510
8.79 IPS |
|
|
Machine Translation (HP)
|
100% |
434
7.48 IPS |
|
|
Machine Translation (Q)
|
57% |
260
6.35 IPS |
