Google Pixel 9
Geekbench AI Score
1019
Single Precision Score
1571
Half Precision Score
1144
Quantized Score
Geekbench AI 1.5.0 Corporate for Android AArch64
Result Information
| Upload Date | September 02 2025 08:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
457
85.0 IPS |
|
|
Image Classification (HP)
|
100% |
501
93.1 IPS |
|
|
Image Classification (Q)
|
97% |
546
102.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1634
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5281
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
13041
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12547
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
572
45.4 IPS |
|
|
Object Detection (HP)
|
99% |
916
72.7 IPS |
|
|
Object Detection (Q)
|
83% |
605
48.9 IPS |
|
|
Face Detection (SP)
|
100% |
2446
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (Q)
|
96% |
2513
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3635
28.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5908
45.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
4646
44.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6361
8.18 IPS |
|
|
Style Transfer (HP)
|
100% |
18182
23.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16737
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1785
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2257
83.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2093
77.6 IPS |
|
|
Text Classification (SP)
|
35% |
17
158.7 IPS |
|
|
Text Classification (HP)
|
35% |
19
176.2 IPS |
|
|
Text Classification (Q)
|
32% |
13
163.1 IPS |
|
|
Machine Translation (SP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.66 IPS |
|
|
Machine Translation (Q)
|
43% |
107
6.21 IPS |
