Google Pixel 7 Pro
Geekbench AI Score
1013
Single Precision Score
1002
Half Precision Score
1851
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | level555 |
| Upload Date | April 21 2025 09:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
520
96.7 IPS |
|
|
Image Classification (HP)
|
100% |
529
98.3 IPS |
|
|
Image Classification (Q)
|
100% |
1514
281.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1729
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2274
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2365
2.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
3656
4.34 IPS |
|
|
Object Detection (SP)
|
100% |
491
39.0 IPS |
|
|
Object Detection (HP)
|
100% |
472
37.5 IPS |
|
|
Object Detection (Q)
|
83% |
1258
101.6 IPS |
|
|
Face Detection (SP)
|
100% |
1345
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
1359
16.2 IPS |
|
|
Face Detection (Q)
|
95% |
3110
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1776
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1774
13.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3085
28.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3651
4.74 IPS |
|
|
Style Transfer (HP)
|
89% |
3479
4.52 IPS |
|
|
Style Transfer (Q)
|
98% |
7252
9.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
978
36.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
971
35.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1749
64.8 IPS |
|
|
Text Classification (SP)
|
100% |
492
656.0 IPS |
|
|
Text Classification (HP)
|
100% |
489
652.6 IPS |
|
|
Text Classification (Q)
|
88% |
783
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (Q)
|
50% |
413
14.7 IPS |
