Google Pixel 7
Geekbench AI Score
210
Single Precision Score
1942
Half Precision Score
6066
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2025 05:57 PM |
| Views | 3 |
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% |
144
26.7 IPS |
|
|
Image Classification (HP)
|
100% |
4596
854.7 IPS |
|
|
Image Classification (Q)
|
99% |
7358
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
187
3.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
4584
74.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7726
125.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
224
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16590
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30330
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
128
10.1 IPS |
|
|
Object Detection (HP)
|
100% |
3932
311.9 IPS |
|
|
Object Detection (Q)
|
87% |
5562
446.2 IPS |
|
|
Face Detection (SP)
|
100% |
335
3.98 IPS |
|
|
Face Detection (HP)
|
100% |
337
4.01 IPS |
|
|
Face Detection (Q)
|
97% |
25919
309.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
265
2.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
17804
137.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
27310
251.4 IPS |
|
|
Style Transfer (SP)
|
100% |
435
0.56 IPS |
|
|
Style Transfer (HP)
|
100% |
388
0.50 IPS |
|
|
Style Transfer (Q)
|
58% |
1715
3.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
123
4.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4997
184.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10961
406.1 IPS |
|
|
Text Classification (SP)
|
100% |
159
212.8 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.1 IPS |
|
|
Text Classification (Q)
|
92% |
2150
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
289
4.97 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.85 IPS |
|
|
Machine Translation (Q)
|
57% |
246
6.02 IPS |
