Google Pixel 7
Geekbench AI Score
397
Single Precision Score
3760
Half Precision Score
6952
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 26 2025 08:14 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
297
55.1 IPS |
|
|
Image Classification (HP)
|
100% |
5658
1.05 KIPS |
|
|
Image Classification (Q)
|
99% |
7771
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.07 IPS |
|
|
Image Segmentation (HP)
|
96% |
5021
81.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8405
136.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1558
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
20096
23.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
35917
42.1 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
4416
350.3 IPS |
|
|
Object Detection (Q)
|
87% |
6356
509.8 IPS |
|
|
Face Detection (SP)
|
100% |
887
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
15325
182.1 IPS |
|
|
Face Detection (Q)
|
97% |
31122
371.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1247
9.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
21393
164.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
34709
319.5 IPS |
|
|
Style Transfer (SP)
|
100% |
999
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
702
0.90 IPS |
|
|
Style Transfer (Q)
|
98% |
1890
2.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
731
27.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6164
227.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13806
511.6 IPS |
|
|
Text Classification (SP)
|
100% |
28
37.5 IPS |
|
|
Text Classification (HP)
|
100% |
328
437.6 IPS |
|
|
Text Classification (Q)
|
92% |
1891
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
114
1.96 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.31 IPS |
|
|
Machine Translation (Q)
|
57% |
332
8.10 IPS |
