Google Pixel 7
Geekbench AI Score
211
Single Precision Score
1954
Half Precision Score
6085
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 10:21 PM |
| Views | 4 |
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% |
145
26.9 IPS |
|
|
Image Classification (HP)
|
100% |
4807
894.0 IPS |
|
|
Image Classification (Q)
|
99% |
7374
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
4592
74.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7804
126.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16584
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30326
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.57 IPS |
|
|
Object Detection (HP)
|
100% |
3936
312.2 IPS |
|
|
Object Detection (Q)
|
87% |
5577
447.3 IPS |
|
|
Face Detection (SP)
|
100% |
354
4.21 IPS |
|
|
Face Detection (HP)
|
100% |
339
4.02 IPS |
|
|
Face Detection (Q)
|
97% |
25894
308.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
268
2.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
17945
138.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
27285
251.2 IPS |
|
|
Style Transfer (SP)
|
100% |
436
0.56 IPS |
|
|
Style Transfer (HP)
|
100% |
433
0.56 IPS |
|
|
Style Transfer (Q)
|
58% |
1692
3.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
128
4.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5049
186.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11088
410.9 IPS |
|
|
Text Classification (SP)
|
100% |
159
212.9 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.2 IPS |
|
|
Text Classification (Q)
|
92% |
2150
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
290
4.99 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.59 IPS |
|
|
Machine Translation (Q)
|
57% |
251
6.13 IPS |
