Google Pixel 7 Pro
Geekbench AI Score
1076
Single Precision Score
1059
Half Precision Score
2037
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | aaaaaaaaaa |
| Upload Date | August 16 2024 01:03 AM |
| Views | 3 |
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% |
535
99.6 IPS |
|
|
Image Classification (HP)
|
100% |
526
97.8 IPS |
|
|
Image Classification (Q)
|
100% |
1463
272.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
615
9.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
1729
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2383
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2351
2.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
3563
4.23 IPS |
|
|
Object Detection (SP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (HP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (Q)
|
87% |
1442
115.8 IPS |
|
|
Face Detection (SP)
|
100% |
1514
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
1534
18.2 IPS |
|
|
Face Detection (Q)
|
95% |
3486
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1983
15.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
2011
15.5 IPS |
|
|
Depth Estimation (Q)
|
75% |
3864
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
4038
5.24 IPS |
|
|
Style Transfer (HP)
|
89% |
4029
5.23 IPS |
|
|
Style Transfer (Q)
|
98% |
8504
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1144
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1097
40.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1937
71.8 IPS |
|
|
Text Classification (SP)
|
100% |
534
712.8 IPS |
|
|
Text Classification (HP)
|
100% |
495
661.0 IPS |
|
|
Text Classification (Q)
|
88% |
878
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (Q)
|
50% |
488
17.3 IPS |
