Google Pixel 7
Geekbench AI Score
234
Single Precision Score
2261
Half Precision Score
7038
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2025 02:01 AM |
| 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% |
151
28.1 IPS |
|
|
Image Classification (HP)
|
100% |
5511
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
8484
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
5231
84.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9321
151.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
20905
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
38084
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
4697
372.6 IPS |
|
|
Object Detection (Q)
|
87% |
6772
543.2 IPS |
|
|
Face Detection (SP)
|
100% |
375
4.45 IPS |
|
|
Face Detection (HP)
|
100% |
375
4.45 IPS |
|
|
Face Detection (Q)
|
97% |
30843
367.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
297
2.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
22651
174.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
33595
309.3 IPS |
|
|
Style Transfer (SP)
|
100% |
506
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
486
0.62 IPS |
|
|
Style Transfer (Q)
|
58% |
1971
3.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
140
5.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4996
184.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11233
416.2 IPS |
|
|
Text Classification (SP)
|
100% |
193
258.1 IPS |
|
|
Text Classification (HP)
|
100% |
194
258.3 IPS |
|
|
Text Classification (Q)
|
92% |
2230
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (HP)
|
100% |
309
5.33 IPS |
|
|
Machine Translation (Q)
|
57% |
286
7.00 IPS |
