Google Pixel 9 Pro
Geekbench AI Score
321
Single Precision Score
4343
Half Precision Score
7780
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 01:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
262
48.7 IPS |
|
|
Image Classification (HP)
|
100% |
5780
1.07 KIPS |
|
|
Image Classification (Q)
|
99% |
6579
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
323
5.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
10777
174.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17863
290.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
383
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
31970
37.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
64059
75.0 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
5349
424.3 IPS |
|
|
Object Detection (Q)
|
87% |
6969
559.0 IPS |
|
|
Face Detection (SP)
|
100% |
392
4.66 IPS |
|
|
Face Detection (HP)
|
100% |
16390
194.8 IPS |
|
|
Face Detection (Q)
|
97% |
30158
359.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
478
3.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
33053
254.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
37245
342.9 IPS |
|
|
Style Transfer (SP)
|
100% |
611
0.78 IPS |
|
|
Style Transfer (HP)
|
100% |
530
0.68 IPS |
|
|
Style Transfer (Q)
|
73% |
2834
3.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
209
7.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8654
319.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15964
591.5 IPS |
|
|
Text Classification (SP)
|
100% |
184
245.2 IPS |
|
|
Text Classification (HP)
|
100% |
184
245.5 IPS |
|
|
Text Classification (Q)
|
92% |
1326
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
480
8.26 IPS |
|
|
Machine Translation (HP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (Q)
|
57% |
230
5.62 IPS |
