Google Pixel 7 Pro
Geekbench AI Score
992
Single Precision Score
942
Half Precision Score
1750
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 13 2024 11:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
491
91.3 IPS |
|
|
Image Classification (HP)
|
100% |
530
98.5 IPS |
|
|
Image Classification (Q)
|
100% |
1533
285.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1713
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2370
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2362
2.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
3599
4.27 IPS |
|
|
Object Detection (SP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (HP)
|
100% |
367
29.1 IPS |
|
|
Object Detection (Q)
|
83% |
1311
105.9 IPS |
|
|
Face Detection (SP)
|
100% |
1337
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
1361
16.2 IPS |
|
|
Face Detection (Q)
|
95% |
2942
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1731
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1712
13.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2682
24.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3528
4.58 IPS |
|
|
Style Transfer (HP)
|
89% |
3235
4.20 IPS |
|
|
Style Transfer (Q)
|
98% |
6723
8.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
944
34.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
906
33.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1621
60.1 IPS |
|
|
Text Classification (SP)
|
100% |
449
599.1 IPS |
|
|
Text Classification (HP)
|
100% |
428
571.1 IPS |
|
|
Text Classification (Q)
|
88% |
700
943.7 IPS |
|
|
Machine Translation (SP)
|
100% |
704
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (Q)
|
50% |
362
12.9 IPS |
