Google Pixel 7
Geekbench AI Score
212
Single Precision Score
1954
Half Precision Score
6115
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 06:46 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
27.0 IPS |
|
|
Image Classification (HP)
|
100% |
4670
868.6 IPS |
|
|
Image Classification (Q)
|
99% |
7413
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
188
3.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
4781
77.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7934
129.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
226
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16599
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30376
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
127
10.1 IPS |
|
|
Object Detection (HP)
|
100% |
3934
312.0 IPS |
|
|
Object Detection (Q)
|
87% |
5579
447.5 IPS |
|
|
Face Detection (SP)
|
100% |
354
4.20 IPS |
|
|
Face Detection (HP)
|
100% |
328
3.89 IPS |
|
|
Face Detection (Q)
|
97% |
25788
307.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
264
2.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
18099
139.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
27309
251.4 IPS |
|
|
Style Transfer (SP)
|
100% |
430
0.55 IPS |
|
|
Style Transfer (HP)
|
100% |
398
0.51 IPS |
|
|
Style Transfer (Q)
|
58% |
1664
2.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
124
4.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5055
186.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11019
408.3 IPS |
|
|
Text Classification (SP)
|
100% |
170
227.3 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.8 IPS |
|
|
Text Classification (Q)
|
92% |
2213
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
289
4.98 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (Q)
|
57% |
257
6.29 IPS |
