Google Pixel 9 Pro
Geekbench AI Score
359
Single Precision Score
4936
Half Precision Score
9281
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 01 2026 03:09 PM |
| Views | 5 |
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 | 14.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
247
46.0 IPS |
|
|
Image Classification (HP)
|
100% |
7008
1.30 KIPS |
|
|
Image Classification (Q)
|
99% |
10047
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
8990
145.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17482
284.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
387
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
32091
37.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
65326
76.5 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
5618
445.6 IPS |
|
|
Object Detection (Q)
|
87% |
7354
589.9 IPS |
|
|
Face Detection (SP)
|
100% |
440
5.23 IPS |
|
|
Face Detection (HP)
|
100% |
16826
199.9 IPS |
|
|
Face Detection (Q)
|
97% |
42594
507.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
459
3.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
35097
270.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
42478
391.0 IPS |
|
|
Style Transfer (SP)
|
100% |
695
0.89 IPS |
|
|
Style Transfer (HP)
|
100% |
697
0.90 IPS |
|
|
Style Transfer (Q)
|
98% |
1869
2.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10332
381.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19024
704.9 IPS |
|
|
Text Classification (SP)
|
100% |
335
446.6 IPS |
|
|
Text Classification (HP)
|
100% |
346
462.2 IPS |
|
|
Text Classification (Q)
|
92% |
2387
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
532
9.16 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.85 IPS |
|
|
Machine Translation (Q)
|
57% |
366
8.94 IPS |
