Google Pixel 7 Pro
Geekbench AI Score
835
Single Precision Score
798
Half Precision Score
1405
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | timk |
| Upload Date | August 23 2024 08:38 PM |
| Views | 11 |
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% |
513
95.3 IPS |
|
|
Image Classification (HP)
|
100% |
506
94.2 IPS |
|
|
Image Classification (Q)
|
100% |
1431
266.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
575
9.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
551
8.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
1484
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1890
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1468
1.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
1856
2.20 IPS |
|
|
Object Detection (SP)
|
100% |
299
23.8 IPS |
|
|
Object Detection (HP)
|
100% |
327
25.9 IPS |
|
|
Object Detection (Q)
|
87% |
912
73.3 IPS |
|
|
Face Detection (SP)
|
100% |
1149
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1160
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
2162
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1518
11.7 IPS |
|
|
Depth Estimation (HP)
|
100% |
1383
10.7 IPS |
|
|
Depth Estimation (Q)
|
75% |
2380
19.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2622
3.40 IPS |
|
|
Style Transfer (HP)
|
89% |
2921
3.79 IPS |
|
|
Style Transfer (Q)
|
98% |
5492
7.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
860
31.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
758
28.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1447
53.6 IPS |
|
|
Text Classification (SP)
|
100% |
389
518.6 IPS |
|
|
Text Classification (HP)
|
100% |
390
520.0 IPS |
|
|
Text Classification (Q)
|
88% |
614
827.9 IPS |
|
|
Machine Translation (SP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
570
9.82 IPS |
|
|
Machine Translation (Q)
|
50% |
333
11.8 IPS |
