Google Pixel 9
Geekbench AI Score
1121
Single Precision Score
1793
Half Precision Score
1317
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | swooned6444 |
| Upload Date | October 18 2025 03:18 PM |
| Views | 5 |
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 | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
649
120.7 IPS |
|
|
Image Classification (HP)
|
100% |
864
160.7 IPS |
|
|
Image Classification (Q)
|
97% |
641
119.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2532
41.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1939
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5281
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
13137
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12594
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
607
48.1 IPS |
|
|
Object Detection (HP)
|
99% |
1078
85.5 IPS |
|
|
Object Detection (Q)
|
83% |
1018
82.2 IPS |
|
|
Face Detection (SP)
|
100% |
2698
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
3474
41.3 IPS |
|
|
Face Detection (Q)
|
96% |
2835
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3674
28.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6374
49.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
5003
47.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8090
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21399
27.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20105
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1929
71.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2487
91.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2309
85.6 IPS |
|
|
Text Classification (SP)
|
35% |
21
193.1 IPS |
|
|
Text Classification (HP)
|
35% |
29
267.2 IPS |
|
|
Text Classification (Q)
|
32% |
20
253.0 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (HP)
|
100% |
325
5.61 IPS |
|
|
Machine Translation (Q)
|
43% |
75
4.38 IPS |
