Google Pixel 7
Geekbench AI Score
959
Single Precision Score
928
Half Precision Score
1690
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 30 2024 10:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 7 |
| Model ID | Google Pixel 7 |
| Motherboard | panther |
| 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 | 7.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
479
89.2 IPS |
|
|
Image Classification (HP)
|
100% |
525
97.6 IPS |
|
|
Image Classification (Q)
|
100% |
1515
281.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
628
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1703
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2389
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2070
2.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
2852
3.38 IPS |
|
|
Object Detection (SP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (HP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (Q)
|
83% |
1024
82.7 IPS |
|
|
Face Detection (SP)
|
100% |
1237
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
1239
14.7 IPS |
|
|
Face Detection (Q)
|
95% |
2716
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1719
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1602
12.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2596
23.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3444
4.47 IPS |
|
|
Style Transfer (HP)
|
89% |
3199
4.15 IPS |
|
|
Style Transfer (Q)
|
98% |
7172
9.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
943
34.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
972
35.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1725
63.9 IPS |
|
|
Text Classification (SP)
|
100% |
452
603.0 IPS |
|
|
Text Classification (HP)
|
100% |
453
604.8 IPS |
|
|
Text Classification (Q)
|
88% |
731
985.9 IPS |
|
|
Machine Translation (SP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (Q)
|
50% |
396
14.1 IPS |
