Google Pixel 9 Pro
Geekbench AI Score
1065
Single Precision Score
1695
Half Precision Score
1280
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 01 2025 04:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
490
91.2 IPS |
|
|
Image Classification (HP)
|
100% |
720
133.9 IPS |
|
|
Image Classification (Q)
|
97% |
459
85.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1487
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2366
38.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1721
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5253
6.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
13466
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12762
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
617
49.0 IPS |
|
|
Object Detection (HP)
|
99% |
976
77.4 IPS |
|
|
Object Detection (Q)
|
83% |
1029
83.1 IPS |
|
|
Face Detection (SP)
|
100% |
2679
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (Q)
|
96% |
2729
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3644
28.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
6037
46.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
4762
45.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8006
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21622
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19602
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1886
69.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2262
83.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2331
86.4 IPS |
|
|
Text Classification (SP)
|
35% |
21
194.6 IPS |
|
|
Text Classification (HP)
|
35% |
26
240.1 IPS |
|
|
Text Classification (Q)
|
32% |
19
251.3 IPS |
|
|
Machine Translation (SP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (HP)
|
100% |
361
6.22 IPS |
|
|
Machine Translation (Q)
|
43% |
101
5.89 IPS |
