Google Pixel 9 Pro
Geekbench AI Score
342
Single Precision Score
4603
Half Precision Score
9941
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 23 2025 11:42 AM |
| Views | 4 |
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 | 15.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
264
49.2 IPS |
|
|
Image Classification (HP)
|
100% |
7502
1.40 KIPS |
|
|
Image Classification (Q)
|
99% |
10378
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
9209
149.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
19211
312.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
389
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
32069
37.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
65542
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
5420
429.9 IPS |
|
|
Object Detection (Q)
|
87% |
10042
805.6 IPS |
|
|
Face Detection (SP)
|
100% |
456
5.42 IPS |
|
|
Face Detection (HP)
|
100% |
16972
201.7 IPS |
|
|
Face Detection (Q)
|
97% |
34438
410.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
483
3.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
35294
271.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
42776
393.8 IPS |
|
|
Style Transfer (SP)
|
100% |
677
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
581
0.75 IPS |
|
|
Style Transfer (Q)
|
73% |
2999
4.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
218
8.07 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10359
382.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
20124
745.7 IPS |
|
|
Text Classification (SP)
|
100% |
225
300.0 IPS |
|
|
Text Classification (HP)
|
100% |
199
265.1 IPS |
|
|
Text Classification (Q)
|
92% |
2419
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
442
7.62 IPS |
|
|
Machine Translation (HP)
|
100% |
496
8.55 IPS |
|
|
Machine Translation (Q)
|
57% |
334
8.16 IPS |
