Google Pixel 7
Geekbench AI Score
222
Single Precision Score
2177
Half Precision Score
6756
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | edesattila |
| Upload Date | May 26 2025 01:08 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
151
28.1 IPS |
|
|
Image Classification (HP)
|
100% |
5524
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
8384
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
5239
84.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9340
151.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
244
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
20817
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
37956
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
4736
375.6 IPS |
|
|
Object Detection (Q)
|
87% |
6563
526.5 IPS |
|
|
Face Detection (SP)
|
100% |
363
4.31 IPS |
|
|
Face Detection (HP)
|
100% |
364
4.32 IPS |
|
|
Face Detection (Q)
|
97% |
31351
373.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
284
2.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
22807
175.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
33592
309.2 IPS |
|
|
Style Transfer (SP)
|
100% |
475
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
440
0.57 IPS |
|
|
Style Transfer (Q)
|
57% |
1787
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5034
185.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10920
404.6 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.2 IPS |
|
|
Text Classification (HP)
|
100% |
171
228.1 IPS |
|
|
Text Classification (Q)
|
92% |
2009
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
289
4.97 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (Q)
|
57% |
246
6.02 IPS |
