Google Pixel 7
Geekbench AI Score
789
Single Precision Score
1199
Half Precision Score
975
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | ritik1207 |
| Upload Date | October 20 2025 03:34 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% |
465
86.4 IPS |
|
|
Image Classification (HP)
|
100% |
540
100.5 IPS |
|
|
Image Classification (Q)
|
97% |
629
117.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1107
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1715
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1667
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4452
5.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
9743
11.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9430
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
99% |
516
40.9 IPS |
|
|
Object Detection (Q)
|
83% |
565
45.6 IPS |
|
|
Face Detection (SP)
|
100% |
1755
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
2743
32.6 IPS |
|
|
Face Detection (Q)
|
96% |
2612
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2326
17.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3698
28.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
2910
27.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6499
8.35 IPS |
|
|
Style Transfer (HP)
|
100% |
15303
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
14345
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1061
39.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1607
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1289
47.8 IPS |
|
|
Text Classification (SP)
|
35% |
13
116.9 IPS |
|
|
Text Classification (HP)
|
35% |
17
151.3 IPS |
|
|
Text Classification (Q)
|
32% |
11
141.8 IPS |
|
|
Machine Translation (SP)
|
100% |
296
5.09 IPS |
|
|
Machine Translation (HP)
|
100% |
312
5.37 IPS |
|
|
Machine Translation (Q)
|
43% |
90
5.22 IPS |
