Google Pixel 7
Geekbench AI Score
899
Single Precision Score
883
Half Precision Score
1589
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 03:09 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
528
98.1 IPS |
|
|
Image Classification (HP)
|
100% |
523
97.3 IPS |
|
|
Image Classification (Q)
|
100% |
1464
272.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
603
9.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
1597
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2050
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1806
2.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
2577
3.06 IPS |
|
|
Object Detection (SP)
|
100% |
370
29.4 IPS |
|
|
Object Detection (HP)
|
100% |
356
28.2 IPS |
|
|
Object Detection (Q)
|
83% |
977
78.9 IPS |
|
|
Face Detection (SP)
|
100% |
1172
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1217
14.5 IPS |
|
|
Face Detection (Q)
|
95% |
2637
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1591
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1593
12.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2623
24.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2997
3.89 IPS |
|
|
Style Transfer (HP)
|
89% |
3164
4.11 IPS |
|
|
Style Transfer (Q)
|
98% |
6074
7.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
901
33.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
899
33.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1572
58.2 IPS |
|
|
Text Classification (SP)
|
100% |
431
575.2 IPS |
|
|
Text Classification (HP)
|
100% |
431
575.7 IPS |
|
|
Text Classification (Q)
|
88% |
692
932.8 IPS |
|
|
Machine Translation (SP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (Q)
|
50% |
382
13.6 IPS |
