Google Pixel 9 Pro
Geekbench AI Score
391
Single Precision Score
4359
Half Precision Score
6347
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 14 2024 04:48 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
278
51.6 IPS |
|
|
Image Classification (HP)
|
100% |
4743
882.1 IPS |
|
|
Image Classification (Q)
|
99% |
8841
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
351
5.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
8792
142.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17072
277.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
441
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
32375
37.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
64857
75.9 IPS |
|
|
Object Detection (SP)
|
100% |
256
20.3 IPS |
|
|
Object Detection (HP)
|
100% |
4852
384.9 IPS |
|
|
Object Detection (Q)
|
87% |
6335
508.2 IPS |
|
|
Face Detection (SP)
|
100% |
636
7.55 IPS |
|
|
Face Detection (HP)
|
100% |
16775
199.3 IPS |
|
|
Face Detection (Q)
|
97% |
33448
398.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
552
4.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
34033
262.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
38803
357.2 IPS |
|
|
Style Transfer (SP)
|
100% |
780
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
556
0.72 IPS |
|
|
Style Transfer (Q)
|
27% |
201
4.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
223
8.22 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8955
330.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15972
591.9 IPS |
|
|
Text Classification (SP)
|
100% |
304
406.0 IPS |
|
|
Text Classification (HP)
|
100% |
304
405.9 IPS |
|
|
Text Classification (Q)
|
92% |
1185
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
409
7.04 IPS |
|
|
Machine Translation (HP)
|
100% |
438
7.54 IPS |
|
|
Machine Translation (Q)
|
57% |
347
8.49 IPS |
