Google Pixel 9
Geekbench AI Score
315
Single Precision Score
4272
Half Precision Score
7891
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 05:20 AM |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
241
44.9 IPS |
|
|
Image Classification (HP)
|
100% |
5461
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
7110
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
8622
139.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19453
316.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
378
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
31309
36.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
62728
73.5 IPS |
|
|
Object Detection (SP)
|
100% |
206
16.3 IPS |
|
|
Object Detection (HP)
|
100% |
4947
392.4 IPS |
|
|
Object Detection (Q)
|
87% |
6297
505.1 IPS |
|
|
Face Detection (SP)
|
100% |
376
4.47 IPS |
|
|
Face Detection (HP)
|
100% |
15177
180.3 IPS |
|
|
Face Detection (Q)
|
97% |
29233
348.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
366
2.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
31783
244.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
38312
352.7 IPS |
|
|
Style Transfer (SP)
|
100% |
524
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
518
0.67 IPS |
|
|
Style Transfer (Q)
|
72% |
2532
3.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
197
7.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9085
335.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15565
576.8 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.8 IPS |
|
|
Text Classification (HP)
|
100% |
304
405.2 IPS |
|
|
Text Classification (Q)
|
92% |
1455
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
430
7.41 IPS |
|
|
Machine Translation (HP)
|
100% |
403
6.95 IPS |
|
|
Machine Translation (Q)
|
57% |
267
6.52 IPS |
