Google Pixel 7
Geekbench AI Score
755
Single Precision Score
1117
Half Precision Score
883
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | edesattila |
| Upload Date | October 27 2025 07:09 PM |
| 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% |
257
47.7 IPS |
|
|
Image Classification (HP)
|
100% |
392
72.9 IPS |
|
|
Image Classification (Q)
|
97% |
350
65.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1090
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1422
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1470
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4415
5.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
9623
11.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9451
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
368
29.2 IPS |
|
|
Object Detection (HP)
|
99% |
469
37.2 IPS |
|
|
Object Detection (Q)
|
83% |
487
39.3 IPS |
|
|
Face Detection (SP)
|
100% |
1912
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
2757
32.8 IPS |
|
|
Face Detection (Q)
|
96% |
2101
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2340
18.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3711
28.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
3218
30.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6513
8.37 IPS |
|
|
Style Transfer (HP)
|
100% |
15655
20.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14506
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1362
50.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1697
62.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1330
49.3 IPS |
|
|
Text Classification (SP)
|
35% |
12
111.9 IPS |
|
|
Text Classification (HP)
|
35% |
15
138.2 IPS |
|
|
Text Classification (Q)
|
32% |
12
152.7 IPS |
|
|
Machine Translation (SP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.10 IPS |
|
|
Machine Translation (Q)
|
43% |
78
4.51 IPS |
