Google Pixel 7
Geekbench AI Score
828
Single Precision Score
803
Half Precision Score
1371
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 02:53 AM |
| Views | 5 |
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% |
491
91.3 IPS |
|
|
Image Classification (HP)
|
100% |
497
92.4 IPS |
|
|
Image Classification (Q)
|
100% |
1442
268.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
576
9.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
576
9.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
1459
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1932
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1449
1.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
1864
2.21 IPS |
|
|
Object Detection (SP)
|
100% |
297
23.6 IPS |
|
|
Object Detection (HP)
|
100% |
327
26.0 IPS |
|
|
Object Detection (Q)
|
83% |
792
63.9 IPS |
|
|
Face Detection (SP)
|
100% |
1039
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1033
12.3 IPS |
|
|
Face Detection (Q)
|
95% |
2174
26.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1509
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1519
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2160
19.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2948
3.83 IPS |
|
|
Style Transfer (HP)
|
89% |
2680
3.48 IPS |
|
|
Style Transfer (Q)
|
98% |
5707
7.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
861
31.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
842
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1303
48.3 IPS |
|
|
Text Classification (SP)
|
100% |
398
531.8 IPS |
|
|
Text Classification (HP)
|
100% |
398
531.1 IPS |
|
|
Text Classification (Q)
|
88% |
628
847.5 IPS |
|
|
Machine Translation (SP)
|
100% |
591
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (Q)
|
50% |
345
12.3 IPS |
