Google Pixel 7 Pro
Geekbench AI Score
1131
Single Precision Score
1125
Half Precision Score
2082
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Alan156 |
| Upload Date | October 25 2025 04:42 PM |
| Views | 2 |
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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
539
100.3 IPS |
|
|
Image Classification (HP)
|
100% |
533
99.2 IPS |
|
|
Image Classification (Q)
|
100% |
1468
273.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1719
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2455
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2423
2.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
3635
4.31 IPS |
|
|
Object Detection (SP)
|
100% |
517
41.0 IPS |
|
|
Object Detection (HP)
|
100% |
515
40.8 IPS |
|
|
Object Detection (Q)
|
83% |
1454
117.4 IPS |
|
|
Face Detection (SP)
|
100% |
1604
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
1575
18.7 IPS |
|
|
Face Detection (Q)
|
95% |
3561
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2068
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2067
15.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3440
31.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4128
5.36 IPS |
|
|
Style Transfer (HP)
|
89% |
4139
5.37 IPS |
|
|
Style Transfer (Q)
|
98% |
8658
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1182
43.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1186
43.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2088
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
553
738.6 IPS |
|
|
Text Classification (HP)
|
100% |
550
733.5 IPS |
|
|
Text Classification (Q)
|
88% |
916
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
874
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
50% |
568
20.2 IPS |
