Google Pixel 7
Geekbench AI Score
194
Single Precision Score
1886
Half Precision Score
5910
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 23 2025 07:08 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% |
142
26.5 IPS |
|
|
Image Classification (HP)
|
100% |
4713
876.6 IPS |
|
|
Image Classification (Q)
|
99% |
7501
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
182
2.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
4491
72.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7792
126.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
215
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
16563
19.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
30365
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
103
8.20 IPS |
|
|
Object Detection (HP)
|
100% |
3867
306.7 IPS |
|
|
Object Detection (Q)
|
87% |
5480
439.6 IPS |
|
|
Face Detection (SP)
|
100% |
307
3.64 IPS |
|
|
Face Detection (HP)
|
100% |
309
3.67 IPS |
|
|
Face Detection (Q)
|
97% |
24859
296.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
240
1.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
17798
137.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
27230
250.7 IPS |
|
|
Style Transfer (SP)
|
100% |
354
0.46 IPS |
|
|
Style Transfer (HP)
|
100% |
339
0.44 IPS |
|
|
Style Transfer (Q)
|
58% |
1401
2.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
107
3.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5027
185.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11015
408.2 IPS |
|
|
Text Classification (SP)
|
100% |
170
227.4 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.0 IPS |
|
|
Text Classification (Q)
|
92% |
2226
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
291
5.01 IPS |
|
|
Machine Translation (HP)
|
100% |
265
4.57 IPS |
|
|
Machine Translation (Q)
|
57% |
230
5.63 IPS |
