Google Pixel 9
Geekbench AI Score
736
Single Precision Score
861
Half Precision Score
831
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | yasin9300 |
| Upload Date | December 22 2024 09:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 9 |
| Model ID | Google Pixel 9 |
| Motherboard | tokay |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
452
84.0 IPS |
|
|
Image Classification (HP)
|
100% |
453
84.2 IPS |
|
|
Image Classification (Q)
|
99% |
451
84.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1053
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1194
19.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1091
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
508
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
712
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
708
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (HP)
|
100% |
534
42.3 IPS |
|
|
Object Detection (Q)
|
83% |
548
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
1846
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
2079
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
1669
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
992
7.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
1250
9.63 IPS |
|
|
Depth Estimation (Q)
|
62% |
1014
9.59 IPS |
|
|
Style Transfer (SP)
|
100% |
2685
3.45 IPS |
|
|
Style Transfer (HP)
|
100% |
3571
4.59 IPS |
|
|
Style Transfer (Q)
|
98% |
3521
4.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
568
21.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
675
24.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
655
24.3 IPS |
|
|
Text Classification (SP)
|
100% |
344
459.6 IPS |
|
|
Text Classification (HP)
|
100% |
350
466.8 IPS |
|
|
Text Classification (Q)
|
91% |
601
808.3 IPS |
|
|
Machine Translation (SP)
|
100% |
501
8.63 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (Q)
|
57% |
353
8.63 IPS |
