Google Pixel 7
Geekbench AI Score
236
Single Precision Score
2324
Half Precision Score
7148
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | edesattila |
| Upload Date | October 27 2025 06:50 PM |
| Views | 2 |
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% |
149
27.8 IPS |
|
|
Image Classification (HP)
|
100% |
5528
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
8267
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
197
3.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
5077
82.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9204
149.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
243
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
20872
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
37975
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
143
11.3 IPS |
|
|
Object Detection (HP)
|
100% |
4630
367.2 IPS |
|
|
Object Detection (Q)
|
87% |
6445
517.0 IPS |
|
|
Face Detection (SP)
|
100% |
386
4.58 IPS |
|
|
Face Detection (HP)
|
100% |
387
4.59 IPS |
|
|
Face Detection (Q)
|
97% |
30676
365.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
308
2.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
22576
173.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
33180
305.4 IPS |
|
|
Style Transfer (SP)
|
100% |
495
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
498
0.64 IPS |
|
|
Style Transfer (Q)
|
58% |
2070
3.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
140
5.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6169
227.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13501
500.3 IPS |
|
|
Text Classification (SP)
|
100% |
201
267.6 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.8 IPS |
|
|
Text Classification (Q)
|
92% |
2435
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
323
5.57 IPS |
|
|
Machine Translation (HP)
|
100% |
313
5.40 IPS |
|
|
Machine Translation (Q)
|
57% |
270
6.61 IPS |
