Google Pixel 7 Pro
Geekbench AI Score
1130
Single Precision Score
1127
Half Precision Score
2097
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 04 2025 09:10 AM |
| Views | 5 |
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% |
532
98.9 IPS |
|
|
Image Classification (HP)
|
100% |
535
99.5 IPS |
|
|
Image Classification (Q)
|
100% |
1550
288.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1754
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2448
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2430
2.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
3674
4.36 IPS |
|
|
Object Detection (SP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (HP)
|
100% |
515
40.8 IPS |
|
|
Object Detection (Q)
|
83% |
1441
116.4 IPS |
|
|
Face Detection (SP)
|
100% |
1611
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
1585
18.8 IPS |
|
|
Face Detection (Q)
|
95% |
3553
42.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2091
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2085
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3473
31.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4150
5.39 IPS |
|
|
Style Transfer (HP)
|
89% |
4133
5.37 IPS |
|
|
Style Transfer (Q)
|
98% |
8553
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1172
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1183
43.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2067
76.6 IPS |
|
|
Text Classification (SP)
|
100% |
559
745.9 IPS |
|
|
Text Classification (HP)
|
100% |
551
735.6 IPS |
|
|
Text Classification (Q)
|
88% |
923
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (Q)
|
50% |
568
20.1 IPS |
