Google Pixel 7 Pro
Geekbench AI Score
1121
Single Precision Score
1121
Half Precision Score
2092
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Tobias_b |
| Upload Date | November 11 2024 01:43 PM |
| Views | 6 |
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 | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
525
97.6 IPS |
|
|
Image Classification (HP)
|
100% |
534
99.3 IPS |
|
|
Image Classification (Q)
|
100% |
1515
281.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1728
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2414
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2403
2.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
3638
4.31 IPS |
|
|
Object Detection (SP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (HP)
|
100% |
511
40.5 IPS |
|
|
Object Detection (Q)
|
83% |
1422
114.9 IPS |
|
|
Face Detection (SP)
|
100% |
1591
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
1597
19.0 IPS |
|
|
Face Detection (Q)
|
95% |
3527
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2016
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2021
15.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3427
31.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4081
5.30 IPS |
|
|
Style Transfer (HP)
|
89% |
4075
5.29 IPS |
|
|
Style Transfer (Q)
|
98% |
8564
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1170
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1170
43.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2080
77.1 IPS |
|
|
Text Classification (SP)
|
100% |
582
776.5 IPS |
|
|
Text Classification (HP)
|
100% |
584
779.2 IPS |
|
|
Text Classification (Q)
|
88% |
1015
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
825
14.2 IPS |
|
|
Machine Translation (Q)
|
50% |
545
19.4 IPS |
