Google Pixel 9 Pro
Geekbench AI Score
356
Single Precision Score
4741
Half Precision Score
8616
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 15 2026 02:05 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 Pro |
| Model ID | Google Pixel 9 Pro |
| Motherboard | caiman |
| 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 | 15.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
277
51.5 IPS |
|
|
Image Classification (HP)
|
100% |
6965
1.30 KIPS |
|
|
Image Classification (Q)
|
99% |
9461
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
343
5.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
8955
145.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17854
290.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
433
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
32010
37.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
65292
76.5 IPS |
|
|
Object Detection (SP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
5442
431.6 IPS |
|
|
Object Detection (Q)
|
87% |
7204
577.9 IPS |
|
|
Face Detection (SP)
|
100% |
510
6.05 IPS |
|
|
Face Detection (HP)
|
100% |
16453
195.5 IPS |
|
|
Face Detection (Q)
|
97% |
28199
336.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
361
2.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
34987
269.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
42282
389.2 IPS |
|
|
Style Transfer (SP)
|
100% |
579
0.74 IPS |
|
|
Style Transfer (HP)
|
100% |
535
0.69 IPS |
|
|
Style Transfer (Q)
|
98% |
1529
1.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
202
7.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10452
386.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19946
739.1 IPS |
|
|
Text Classification (SP)
|
100% |
333
444.6 IPS |
|
|
Text Classification (HP)
|
100% |
335
447.4 IPS |
|
|
Text Classification (Q)
|
92% |
2232
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
498
8.59 IPS |
|
|
Machine Translation (HP)
|
100% |
490
8.44 IPS |
|
|
Machine Translation (Q)
|
57% |
350
8.54 IPS |
