Google Pixel 7 Pro
Geekbench AI Score
963
Single Precision Score
954
Half Precision Score
1772
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Luk30002as |
| Upload Date | May 21 2025 02:39 PM |
| Views | 12 |
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% |
522
97.1 IPS |
|
|
Image Classification (HP)
|
100% |
529
98.4 IPS |
|
|
Image Classification (Q)
|
100% |
1517
282.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1793
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2274
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2063
2.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
3491
4.14 IPS |
|
|
Object Detection (SP)
|
100% |
442
35.1 IPS |
|
|
Object Detection (HP)
|
100% |
422
33.5 IPS |
|
|
Object Detection (Q)
|
83% |
1138
91.9 IPS |
|
|
Face Detection (SP)
|
100% |
1279
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
1328
15.8 IPS |
|
|
Face Detection (Q)
|
95% |
3041
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1728
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1725
13.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2754
25.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3495
4.54 IPS |
|
|
Style Transfer (HP)
|
89% |
3221
4.18 IPS |
|
|
Style Transfer (Q)
|
98% |
6281
8.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
919
33.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
980
36.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1716
63.6 IPS |
|
|
Text Classification (SP)
|
100% |
428
570.7 IPS |
|
|
Text Classification (HP)
|
100% |
425
567.3 IPS |
|
|
Text Classification (Q)
|
88% |
753
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
416
14.8 IPS |
