Google Pixel 7 Pro
Geekbench AI Score
190
Single Precision Score
1908
Half Precision Score
6074
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | tuldok89 |
| Upload Date | August 24 2025 03:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 7 Pro |
| Model ID | Google Pixel 7 Pro |
| Motherboard | cheetah |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
147
27.3 IPS |
|
|
Image Classification (HP)
|
100% |
5595
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
8495
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
182
2.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
5217
84.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9407
153.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
218
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
16602
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30387
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.75 IPS |
|
|
Object Detection (HP)
|
100% |
3853
305.6 IPS |
|
|
Object Detection (Q)
|
87% |
5395
432.8 IPS |
|
|
Face Detection (SP)
|
100% |
306
3.64 IPS |
|
|
Face Detection (HP)
|
100% |
308
3.65 IPS |
|
|
Face Detection (Q)
|
97% |
25042
298.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
235
1.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
17817
137.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
27060
249.1 IPS |
|
|
Style Transfer (SP)
|
100% |
340
0.44 IPS |
|
|
Style Transfer (HP)
|
100% |
331
0.43 IPS |
|
|
Style Transfer (Q)
|
58% |
1525
2.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
105
3.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5068
187.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11218
415.7 IPS |
|
|
Text Classification (SP)
|
100% |
142
190.2 IPS |
|
|
Text Classification (HP)
|
100% |
142
189.9 IPS |
|
|
Text Classification (Q)
|
92% |
2019
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
264
4.56 IPS |
|
|
Machine Translation (HP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (Q)
|
57% |
223
5.45 IPS |
