Google Pixel 7
Geekbench AI Score
945
Single Precision Score
912
Half Precision Score
1661
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 20 2025 02:33 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 7 |
| Model ID | Google Pixel 7 |
| Motherboard | panther |
| 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 | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
536
99.6 IPS |
|
|
Image Classification (HP)
|
100% |
527
98.0 IPS |
|
|
Image Classification (Q)
|
100% |
1531
284.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1725
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2265
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1923
2.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
2842
3.37 IPS |
|
|
Object Detection (SP)
|
100% |
404
32.0 IPS |
|
|
Object Detection (HP)
|
100% |
355
28.1 IPS |
|
|
Object Detection (Q)
|
83% |
1002
81.0 IPS |
|
|
Face Detection (SP)
|
100% |
1232
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1234
14.7 IPS |
|
|
Face Detection (Q)
|
95% |
2661
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1612
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1687
13.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2607
23.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3431
4.45 IPS |
|
|
Style Transfer (HP)
|
89% |
3173
4.12 IPS |
|
|
Style Transfer (Q)
|
98% |
6632
8.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
903
33.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
953
35.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1727
64.0 IPS |
|
|
Text Classification (SP)
|
100% |
423
564.8 IPS |
|
|
Text Classification (HP)
|
100% |
432
576.6 IPS |
|
|
Text Classification (Q)
|
88% |
723
975.5 IPS |
|
|
Machine Translation (SP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (Q)
|
50% |
370
13.1 IPS |
