Google Pixel 9 Pro
Geekbench AI Score
430
Single Precision Score
5063
Half Precision Score
6607
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | hass |
| Upload Date | September 05 2024 02:56 PM |
| Views | 2 |
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% |
279
51.8 IPS |
|
|
Image Classification (HP)
|
100% |
5471
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
5729
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
348
5.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
9794
158.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20933
340.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
430
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
31822
37.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
63824
74.7 IPS |
|
|
Object Detection (SP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (HP)
|
100% |
5512
437.2 IPS |
|
|
Object Detection (Q)
|
90% |
7022
561.4 IPS |
|
|
Face Detection (SP)
|
100% |
623
7.40 IPS |
|
|
Face Detection (HP)
|
100% |
16284
193.5 IPS |
|
|
Face Detection (Q)
|
97% |
33696
401.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
542
4.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
34326
264.5 IPS |
|
|
Depth Estimation (Q)
|
70% |
40322
339.7 IPS |
|
|
Style Transfer (SP)
|
100% |
809
1.04 IPS |
|
|
Style Transfer (HP)
|
100% |
803
1.03 IPS |
|
|
Style Transfer (Q)
|
27% |
225
4.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10246
378.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19428
719.9 IPS |
|
|
Text Classification (SP)
|
100% |
421
561.4 IPS |
|
|
Text Classification (HP)
|
100% |
425
567.1 IPS |
|
|
Text Classification (Q)
|
92% |
1161
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
616
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
428
10.5 IPS |
