Google Pixel 7
Geekbench AI Score
722
Single Precision Score
1101
Half Precision Score
812
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2025 05:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
276
51.4 IPS |
|
|
Image Classification (HP)
|
100% |
280
52.1 IPS |
|
|
Image Classification (Q)
|
97% |
262
48.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1326
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4343
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
9243
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
8702
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
360
28.5 IPS |
|
|
Object Detection (HP)
|
99% |
455
36.1 IPS |
|
|
Object Detection (Q)
|
83% |
422
34.1 IPS |
|
|
Face Detection (SP)
|
100% |
1776
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
2482
29.5 IPS |
|
|
Face Detection (Q)
|
96% |
2149
25.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2259
17.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3457
26.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
3104
29.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6466
8.31 IPS |
|
|
Style Transfer (HP)
|
100% |
15644
20.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14438
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1063
39.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1340
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1215
45.0 IPS |
|
|
Text Classification (SP)
|
35% |
10
88.1 IPS |
|
|
Text Classification (HP)
|
35% |
23
208.3 IPS |
|
|
Text Classification (Q)
|
32% |
11
144.7 IPS |
|
|
Machine Translation (SP)
|
100% |
309
5.32 IPS |
|
|
Machine Translation (HP)
|
100% |
342
5.89 IPS |
|
|
Machine Translation (Q)
|
43% |
76
4.41 IPS |
