Google Pixel 9
Geekbench AI Score
578
Single Precision Score
771
Half Precision Score
752
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 11 2025 03:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
455
84.7 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.4 IPS |
|
|
Image Classification (Q)
|
99% |
450
84.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1056
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
530
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
741
0.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
736
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (HP)
|
100% |
547
43.4 IPS |
|
|
Object Detection (Q)
|
83% |
550
44.5 IPS |
|
|
Face Detection (SP)
|
100% |
1856
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
2165
25.7 IPS |
|
|
Face Detection (Q)
|
97% |
2081
24.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1004
7.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
1255
9.67 IPS |
|
|
Depth Estimation (Q)
|
62% |
1019
9.64 IPS |
|
|
Style Transfer (SP)
|
100% |
2766
3.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3620
4.65 IPS |
|
|
Style Transfer (Q)
|
98% |
3557
4.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
593
21.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
676
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
662
24.5 IPS |
|
|
Text Classification (SP)
|
100% |
98
130.2 IPS |
|
|
Text Classification (HP)
|
100% |
98
130.8 IPS |
|
|
Text Classification (Q)
|
91% |
163
218.5 IPS |
|
|
Machine Translation (SP)
|
100% |
180
3.10 IPS |
|
|
Machine Translation (HP)
|
100% |
530
9.14 IPS |
|
|
Machine Translation (Q)
|
57% |
372
9.08 IPS |
