Google Pixel 7 Pro
Geekbench AI Score
613
Single Precision Score
171
Half Precision Score
828
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | NickRM |
| Upload Date | December 04 2025 04:21 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 11.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
441
82.0 IPS |
|
|
Image Classification (HP)
|
100% |
55
10.3 IPS |
|
|
Image Classification (Q)
|
100% |
794
147.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
410
6.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
901
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1259
1.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
425
0.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
1157
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (HP)
|
100% |
61
4.86 IPS |
|
|
Object Detection (Q)
|
83% |
583
47.1 IPS |
|
|
Face Detection (SP)
|
100% |
839
9.97 IPS |
|
|
Face Detection (HP)
|
100% |
303
3.60 IPS |
|
|
Face Detection (Q)
|
95% |
1400
16.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1292
9.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
304
2.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
1311
12.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2378
3.09 IPS |
|
|
Style Transfer (HP)
|
90% |
797
1.03 IPS |
|
|
Style Transfer (Q)
|
98% |
3937
5.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
543
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
112
4.14 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
797
29.5 IPS |
|
|
Text Classification (SP)
|
100% |
298
397.2 IPS |
|
|
Text Classification (HP)
|
100% |
273
364.3 IPS |
|
|
Text Classification (Q)
|
88% |
290
391.6 IPS |
|
|
Machine Translation (SP)
|
100% |
444
7.64 IPS |
|
|
Machine Translation (HP)
|
100% |
35
0.60 IPS |
|
|
Machine Translation (Q)
|
50% |
190
6.74 IPS |
