Google Pixel 7
Geekbench AI Score
841
Single Precision Score
807
Half Precision Score
1404
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 08 2025 01:30 AM |
| Views | 4 |
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% |
510
94.8 IPS |
|
|
Image Classification (HP)
|
100% |
501
93.1 IPS |
|
|
Image Classification (Q)
|
100% |
1440
267.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
582
9.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
579
9.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
1464
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1880
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1412
1.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
2018
2.39 IPS |
|
|
Object Detection (SP)
|
100% |
316
25.1 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
83% |
889
71.8 IPS |
|
|
Face Detection (SP)
|
100% |
1159
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1157
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
2372
28.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1528
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1464
11.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2152
19.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2952
3.83 IPS |
|
|
Style Transfer (HP)
|
89% |
2669
3.46 IPS |
|
|
Style Transfer (Q)
|
98% |
5328
6.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
768
28.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
862
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1434
53.1 IPS |
|
|
Text Classification (SP)
|
100% |
391
521.3 IPS |
|
|
Text Classification (HP)
|
100% |
404
539.5 IPS |
|
|
Text Classification (Q)
|
88% |
629
848.1 IPS |
|
|
Machine Translation (SP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
575
9.91 IPS |
|
|
Machine Translation (Q)
|
50% |
321
11.4 IPS |
