Google Pixel 7
Geekbench AI Score
736
Single Precision Score
1045
Half Precision Score
802
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | klcs1998 |
| Upload Date | August 15 2025 12:07 AM |
| Views | 4 |
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% |
227
42.3 IPS |
|
|
Image Classification (HP)
|
100% |
298
55.4 IPS |
|
|
Image Classification (Q)
|
97% |
253
47.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1529
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4448
5.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
9859
11.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9427
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (HP)
|
99% |
433
34.3 IPS |
|
|
Object Detection (Q)
|
83% |
421
34.0 IPS |
|
|
Face Detection (SP)
|
100% |
1823
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
2432
28.9 IPS |
|
|
Face Detection (Q)
|
96% |
1977
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2274
17.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3516
27.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
2894
27.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6456
8.30 IPS |
|
|
Style Transfer (HP)
|
100% |
15848
20.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14449
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1081
39.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1415
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1132
42.0 IPS |
|
|
Text Classification (SP)
|
35% |
14
125.3 IPS |
|
|
Text Classification (HP)
|
35% |
13
122.2 IPS |
|
|
Text Classification (Q)
|
32% |
10
129.7 IPS |
|
|
Machine Translation (SP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (Q)
|
43% |
77
4.47 IPS |
