Google Pixel 7 Pro
Geekbench AI Score
1124
Single Precision Score
1118
Half Precision Score
2100
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 04 2025 12:33 PM |
| Views | 4 |
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 | 11.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
530
98.6 IPS |
|
|
Image Classification (HP)
|
100% |
531
98.7 IPS |
|
|
Image Classification (Q)
|
100% |
1530
284.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1742
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2452
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2450
2.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
3635
4.31 IPS |
|
|
Object Detection (SP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (HP)
|
100% |
511
40.5 IPS |
|
|
Object Detection (Q)
|
83% |
1439
116.2 IPS |
|
|
Face Detection (SP)
|
100% |
1599
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
1579
18.8 IPS |
|
|
Face Detection (Q)
|
95% |
3553
42.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2070
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2058
15.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3444
31.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4080
5.30 IPS |
|
|
Style Transfer (HP)
|
89% |
4104
5.33 IPS |
|
|
Style Transfer (Q)
|
98% |
8505
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1172
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1177
43.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2069
76.6 IPS |
|
|
Text Classification (SP)
|
100% |
548
730.9 IPS |
|
|
Text Classification (HP)
|
100% |
546
729.0 IPS |
|
|
Text Classification (Q)
|
88% |
1000
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
868
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (Q)
|
50% |
557
19.8 IPS |
