Google Pixel 7
Geekbench AI Score
728
Single Precision Score
1066
Half Precision Score
844
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | edesattila |
| Upload Date | October 28 2025 06:03 AM |
| 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% |
245
45.6 IPS |
|
|
Image Classification (HP)
|
100% |
299
55.6 IPS |
|
|
Image Classification (Q)
|
97% |
301
56.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1065
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1659
26.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1315
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4412
5.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
9720
11.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9375
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
424
33.6 IPS |
|
|
Object Detection (HP)
|
99% |
483
38.3 IPS |
|
|
Object Detection (Q)
|
83% |
476
38.4 IPS |
|
|
Face Detection (SP)
|
100% |
1732
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
2424
28.8 IPS |
|
|
Face Detection (Q)
|
96% |
2117
25.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2333
18.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4325
33.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
3214
30.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6518
8.38 IPS |
|
|
Style Transfer (HP)
|
100% |
15084
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14765
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1117
41.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1147
42.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1345
49.9 IPS |
|
|
Text Classification (SP)
|
35% |
11
99.5 IPS |
|
|
Text Classification (HP)
|
35% |
15
139.7 IPS |
|
|
Text Classification (Q)
|
32% |
10
133.2 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (HP)
|
100% |
301
5.19 IPS |
|
|
Machine Translation (Q)
|
43% |
77
4.48 IPS |
