Google Pixel 7 Pro
Geekbench AI Score
709
Single Precision Score
1045
Half Precision Score
779
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2025 11:44 PM |
| Views | 3 |
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 | 11.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
292
54.4 IPS |
|
|
Image Classification (HP)
|
100% |
421
78.2 IPS |
|
|
Image Classification (Q)
|
97% |
263
49.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1009
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1583
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1314
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4333
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
9435
11.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9147
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (HP)
|
99% |
441
34.9 IPS |
|
|
Object Detection (Q)
|
83% |
452
36.5 IPS |
|
|
Face Detection (SP)
|
100% |
1575
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
2164
25.7 IPS |
|
|
Face Detection (Q)
|
96% |
1943
23.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2256
17.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3464
26.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
2783
26.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6296
8.09 IPS |
|
|
Style Transfer (HP)
|
100% |
15112
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14478
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1072
39.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1241
45.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1073
39.8 IPS |
|
|
Text Classification (SP)
|
35% |
10
92.8 IPS |
|
|
Text Classification (HP)
|
35% |
14
127.5 IPS |
|
|
Text Classification (Q)
|
32% |
9
121.0 IPS |
|
|
Machine Translation (SP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (Q)
|
43% |
77
4.46 IPS |
