Google Pixel 7
Geekbench AI Score
201
Single Precision Score
1878
Half Precision Score
6013
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 06:50 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
143
26.6 IPS |
|
|
Image Classification (HP)
|
100% |
4696
873.3 IPS |
|
|
Image Classification (Q)
|
99% |
7364
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
188
3.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
4713
76.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7849
127.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
221
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16577
19.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
30253
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.74 IPS |
|
|
Object Detection (HP)
|
100% |
3870
307.0 IPS |
|
|
Object Detection (Q)
|
87% |
5463
438.3 IPS |
|
|
Face Detection (SP)
|
100% |
326
3.88 IPS |
|
|
Face Detection (HP)
|
100% |
328
3.89 IPS |
|
|
Face Detection (Q)
|
97% |
25270
301.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
255
1.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
18125
139.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
26892
247.6 IPS |
|
|
Style Transfer (SP)
|
100% |
377
0.48 IPS |
|
|
Style Transfer (HP)
|
100% |
342
0.44 IPS |
|
|
Style Transfer (Q)
|
58% |
1693
3.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
125
4.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5068
187.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11051
409.5 IPS |
|
|
Text Classification (SP)
|
100% |
159
212.5 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.5 IPS |
|
|
Text Classification (Q)
|
92% |
2112
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
273
4.71 IPS |
|
|
Machine Translation (HP)
|
100% |
235
4.05 IPS |
|
|
Machine Translation (Q)
|
57% |
241
5.89 IPS |
