Google Pixel 7 Pro
Geekbench AI Score
1048
Single Precision Score
1048
Half Precision Score
1937
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 04 2025 09:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 11.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
523
97.2 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.2 IPS |
|
|
Image Classification (Q)
|
100% |
1438
267.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1720
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2376
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2409
2.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
3637
4.31 IPS |
|
|
Object Detection (SP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (HP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (Q)
|
83% |
1421
114.8 IPS |
|
|
Face Detection (SP)
|
100% |
1551
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
1546
18.4 IPS |
|
|
Face Detection (Q)
|
95% |
3428
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1962
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1990
15.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3415
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3393
4.40 IPS |
|
|
Style Transfer (HP)
|
89% |
3634
4.72 IPS |
|
|
Style Transfer (Q)
|
98% |
7272
9.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
999
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1023
37.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1870
69.3 IPS |
|
|
Text Classification (SP)
|
100% |
500
667.0 IPS |
|
|
Text Classification (HP)
|
100% |
497
662.9 IPS |
|
|
Text Classification (Q)
|
88% |
840
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
738
12.7 IPS |
|
|
Machine Translation (Q)
|
50% |
437
15.5 IPS |
