Google Pixel 7
Geekbench AI Score
988
Single Precision Score
867
Half Precision Score
1786
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | edesattila |
| Upload Date | October 27 2025 07:18 PM |
| Views | 2 |
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% |
483
89.9 IPS |
|
|
Image Classification (HP)
|
100% |
516
96.1 IPS |
|
|
Image Classification (Q)
|
100% |
1443
268.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1746
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2349
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2334
2.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
3608
4.28 IPS |
|
|
Object Detection (SP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (HP)
|
100% |
448
35.6 IPS |
|
|
Object Detection (Q)
|
83% |
1218
98.4 IPS |
|
|
Face Detection (SP)
|
100% |
1357
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
407
4.83 IPS |
|
|
Face Detection (Q)
|
95% |
2801
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1692
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1693
13.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2817
25.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3479
4.52 IPS |
|
|
Style Transfer (HP)
|
89% |
3456
4.49 IPS |
|
|
Style Transfer (Q)
|
98% |
7207
9.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
951
35.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
954
35.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1712
63.4 IPS |
|
|
Text Classification (SP)
|
100% |
484
646.6 IPS |
|
|
Text Classification (HP)
|
100% |
468
624.1 IPS |
|
|
Text Classification (Q)
|
88% |
761
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (Q)
|
50% |
404
14.4 IPS |
