Google Pixel 7
Geekbench AI Score
1065
Single Precision Score
1023
Half Precision Score
1902
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | edesattila |
| Upload Date | October 28 2025 05:51 AM |
| 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% |
541
100.5 IPS |
|
|
Image Classification (HP)
|
100% |
517
96.1 IPS |
|
|
Image Classification (Q)
|
100% |
1527
283.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1722
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2401
2.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2376
2.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
3659
4.34 IPS |
|
|
Object Detection (SP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (HP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (Q)
|
83% |
1434
115.8 IPS |
|
|
Face Detection (SP)
|
100% |
1584
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1455
17.3 IPS |
|
|
Face Detection (Q)
|
95% |
3347
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1923
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1800
13.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3118
28.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3653
4.74 IPS |
|
|
Style Transfer (HP)
|
89% |
3662
4.75 IPS |
|
|
Style Transfer (Q)
|
98% |
7644
9.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1054
38.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1053
38.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1878
69.6 IPS |
|
|
Text Classification (SP)
|
100% |
516
688.6 IPS |
|
|
Text Classification (HP)
|
100% |
501
668.5 IPS |
|
|
Text Classification (Q)
|
88% |
811
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (Q)
|
50% |
370
13.1 IPS |
