Google Pixel 7
Geekbench AI Score
185
Single Precision Score
1855
Half Precision Score
5862
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 06:00 PM |
| Views | 5 |
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
26.5 IPS |
|
|
Image Classification (HP)
|
100% |
4696
873.3 IPS |
|
|
Image Classification (Q)
|
99% |
7366
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
183
2.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
4368
70.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7668
124.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
215
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
16548
19.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
30279
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
109
8.67 IPS |
|
|
Object Detection (HP)
|
100% |
3777
299.6 IPS |
|
|
Object Detection (Q)
|
87% |
5220
418.7 IPS |
|
|
Face Detection (SP)
|
100% |
322
3.82 IPS |
|
|
Face Detection (HP)
|
100% |
303
3.61 IPS |
|
|
Face Detection (Q)
|
97% |
25665
306.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
243
1.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
18036
139.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
26915
247.8 IPS |
|
|
Style Transfer (SP)
|
100% |
333
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
333
0.43 IPS |
|
|
Style Transfer (Q)
|
57% |
1458
2.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
106
3.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5048
186.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11076
410.4 IPS |
|
|
Text Classification (SP)
|
100% |
107
143.5 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.1 IPS |
|
|
Text Classification (Q)
|
92% |
2120
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (HP)
|
100% |
259
4.46 IPS |
|
|
Machine Translation (Q)
|
57% |
227
5.54 IPS |
