Google Pixel 7 Pro
Geekbench AI Score
1097
Single Precision Score
1089
Half Precision Score
2042
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2025 07:44 PM |
| Views | 1 |
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% |
530
98.6 IPS |
|
|
Image Classification (HP)
|
100% |
526
97.9 IPS |
|
|
Image Classification (Q)
|
100% |
1454
270.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1734
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2373
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2308
2.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
3672
4.35 IPS |
|
|
Object Detection (SP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (HP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (Q)
|
83% |
1334
107.7 IPS |
|
|
Face Detection (SP)
|
100% |
1525
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1522
18.1 IPS |
|
|
Face Detection (Q)
|
95% |
3509
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2001
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1984
15.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3387
31.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4072
5.29 IPS |
|
|
Style Transfer (HP)
|
89% |
4049
5.26 IPS |
|
|
Style Transfer (Q)
|
98% |
8612
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1126
41.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1143
42.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2052
76.0 IPS |
|
|
Text Classification (SP)
|
100% |
538
718.6 IPS |
|
|
Text Classification (HP)
|
100% |
539
718.9 IPS |
|
|
Text Classification (Q)
|
88% |
959
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (Q)
|
50% |
507
18.0 IPS |
