Google Pixel 7
Geekbench AI Score
1005
Single Precision Score
981
Half Precision Score
1836
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | csoltenborn |
| Upload Date | November 29 2025 03:01 PM |
| Views | 3 |
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% |
486
90.5 IPS |
|
|
Image Classification (HP)
|
100% |
521
96.9 IPS |
|
|
Image Classification (Q)
|
100% |
1535
285.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1706
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2366
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2352
2.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
3636
4.31 IPS |
|
|
Object Detection (SP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (HP)
|
100% |
439
34.8 IPS |
|
|
Object Detection (Q)
|
83% |
1324
107.0 IPS |
|
|
Face Detection (SP)
|
100% |
1401
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
1453
17.3 IPS |
|
|
Face Detection (Q)
|
95% |
3156
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1805
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1754
13.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2905
26.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3473
4.51 IPS |
|
|
Style Transfer (HP)
|
89% |
3234
4.20 IPS |
|
|
Style Transfer (Q)
|
98% |
6727
8.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
958
35.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
957
35.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1744
64.6 IPS |
|
|
Text Classification (SP)
|
100% |
495
660.4 IPS |
|
|
Text Classification (HP)
|
100% |
486
648.2 IPS |
|
|
Text Classification (Q)
|
88% |
802
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (Q)
|
50% |
401
14.2 IPS |
