Google Pixel 7 Pro
Geekbench AI Score
210
Single Precision Score
2018
Half Precision Score
6265
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 10:45 PM |
| Views | 1 |
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% |
5520
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
8489
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
191
3.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
5228
84.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9375
152.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
226
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16591
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30322
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
128
10.1 IPS |
|
|
Object Detection (HP)
|
100% |
3889
308.5 IPS |
|
|
Object Detection (Q)
|
87% |
5556
445.7 IPS |
|
|
Face Detection (SP)
|
100% |
356
4.23 IPS |
|
|
Face Detection (HP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (Q)
|
97% |
25641
305.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
267
2.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
18064
139.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
27324
251.5 IPS |
|
|
Style Transfer (SP)
|
100% |
451
0.58 IPS |
|
|
Style Transfer (HP)
|
100% |
382
0.49 IPS |
|
|
Style Transfer (Q)
|
58% |
1706
3.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
117
4.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4964
183.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11037
409.0 IPS |
|
|
Text Classification (SP)
|
100% |
148
197.4 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.4 IPS |
|
|
Text Classification (Q)
|
92% |
2170
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (HP)
|
100% |
292
5.03 IPS |
|
|
Machine Translation (Q)
|
57% |
243
5.94 IPS |
