Google Pixel 7 Pro
Geekbench AI Score
794
Single Precision Score
1124
Half Precision Score
888
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 25 2025 05:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 7 Pro |
| Model ID | Google Pixel 7 Pro |
| Motherboard | cheetah |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.35 GHz |
| Cluster 3 | 2 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
334
62.1 IPS |
|
|
Image Classification (HP)
|
100% |
287
53.4 IPS |
|
|
Image Classification (Q)
|
97% |
271
50.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1115
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1542
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4586
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
10086
11.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9820
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (HP)
|
99% |
504
40.0 IPS |
|
|
Object Detection (Q)
|
83% |
474
38.3 IPS |
|
|
Face Detection (SP)
|
100% |
1828
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
2730
32.4 IPS |
|
|
Face Detection (Q)
|
96% |
2502
29.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2488
19.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4310
33.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
3179
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6543
8.41 IPS |
|
|
Style Transfer (HP)
|
100% |
16506
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15696
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1318
48.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1398
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1483
55.0 IPS |
|
|
Text Classification (SP)
|
35% |
13
118.6 IPS |
|
|
Text Classification (HP)
|
35% |
16
143.4 IPS |
|
|
Text Classification (Q)
|
32% |
11
138.6 IPS |
|
|
Machine Translation (SP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (HP)
|
100% |
289
4.98 IPS |
|
|
Machine Translation (Q)
|
43% |
77
4.48 IPS |
