Google Pixel 7
Geekbench AI Score
1040
Single Precision Score
1029
Half Precision Score
1912
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 26 2025 07:46 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
517
96.2 IPS |
|
|
Image Classification (HP)
|
100% |
506
94.1 IPS |
|
|
Image Classification (Q)
|
100% |
1459
271.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1709
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2382
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2438
2.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
3596
4.26 IPS |
|
|
Object Detection (SP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (HP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (Q)
|
83% |
1268
102.4 IPS |
|
|
Face Detection (SP)
|
100% |
1371
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
1398
16.6 IPS |
|
|
Face Detection (Q)
|
95% |
3176
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1806
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1801
13.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3095
28.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3691
4.79 IPS |
|
|
Style Transfer (HP)
|
89% |
3650
4.74 IPS |
|
|
Style Transfer (Q)
|
98% |
7702
9.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1038
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1059
39.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1879
69.6 IPS |
|
|
Text Classification (SP)
|
100% |
505
674.0 IPS |
|
|
Text Classification (HP)
|
100% |
535
713.6 IPS |
|
|
Text Classification (Q)
|
88% |
904
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
810
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
447
15.9 IPS |
