Google Pixel 7 Pro
Geekbench AI Score
695
Single Precision Score
1021
Half Precision Score
797
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 29 2025 12:15 PM |
| Views | 7 |
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% |
240
44.7 IPS |
|
|
Image Classification (HP)
|
100% |
284
52.7 IPS |
|
|
Image Classification (Q)
|
97% |
241
45.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1036
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1685
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1331
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4364
5.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
9325
10.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
8943
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (HP)
|
99% |
441
35.0 IPS |
|
|
Object Detection (Q)
|
83% |
448
36.2 IPS |
|
|
Face Detection (SP)
|
100% |
1693
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
2409
28.6 IPS |
|
|
Face Detection (Q)
|
96% |
2199
26.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2271
17.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3459
26.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
2729
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6387
8.21 IPS |
|
|
Style Transfer (HP)
|
100% |
15053
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14350
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1081
39.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1171
43.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1274
47.2 IPS |
|
|
Text Classification (SP)
|
35% |
9
82.3 IPS |
|
|
Text Classification (HP)
|
35% |
15
139.5 IPS |
|
|
Text Classification (Q)
|
32% |
10
122.6 IPS |
|
|
Machine Translation (SP)
|
100% |
271
4.66 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.89 IPS |
|
|
Machine Translation (Q)
|
43% |
74
4.32 IPS |
