Google Pixel 7
Geekbench AI Score
738
Single Precision Score
1058
Half Precision Score
853
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | csoltenborn |
| Upload Date | November 29 2025 03:12 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% |
281
52.2 IPS |
|
|
Image Classification (HP)
|
100% |
348
64.7 IPS |
|
|
Image Classification (Q)
|
97% |
336
62.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1343
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4372
5.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
9683
11.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9245
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (HP)
|
99% |
457
36.3 IPS |
|
|
Object Detection (Q)
|
83% |
465
37.6 IPS |
|
|
Face Detection (SP)
|
100% |
1860
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
2384
28.3 IPS |
|
|
Face Detection (Q)
|
96% |
2406
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2294
17.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3711
28.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
2930
27.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6489
8.34 IPS |
|
|
Style Transfer (HP)
|
100% |
15374
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15026
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1127
41.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1209
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1177
43.6 IPS |
|
|
Text Classification (SP)
|
35% |
12
107.0 IPS |
|
|
Text Classification (HP)
|
35% |
15
136.1 IPS |
|
|
Text Classification (Q)
|
32% |
11
145.6 IPS |
|
|
Machine Translation (SP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (HP)
|
100% |
292
5.04 IPS |
|
|
Machine Translation (Q)
|
43% |
77
4.45 IPS |
