Google Pixel 7
Geekbench AI Score
833
Single Precision Score
814
Half Precision Score
1436
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 01:50 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% |
507
94.3 IPS |
|
|
Image Classification (HP)
|
100% |
490
91.2 IPS |
|
|
Image Classification (Q)
|
100% |
1365
253.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
558
9.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
562
9.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
1438
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1918
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1646
1.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
2289
2.72 IPS |
|
|
Object Detection (SP)
|
100% |
323
25.6 IPS |
|
|
Object Detection (HP)
|
100% |
323
25.6 IPS |
|
|
Object Detection (Q)
|
83% |
856
69.2 IPS |
|
|
Face Detection (SP)
|
100% |
1135
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1025
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
2135
25.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1490
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1485
11.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2369
21.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2969
3.85 IPS |
|
|
Style Transfer (HP)
|
89% |
2916
3.79 IPS |
|
|
Style Transfer (Q)
|
98% |
5959
7.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
738
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
835
30.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1444
53.5 IPS |
|
|
Text Classification (SP)
|
100% |
415
553.7 IPS |
|
|
Text Classification (HP)
|
100% |
421
561.4 IPS |
|
|
Text Classification (Q)
|
88% |
654
881.5 IPS |
|
|
Machine Translation (SP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
564
9.71 IPS |
|
|
Machine Translation (Q)
|
50% |
342
12.1 IPS |
