Google Pixel 7
Geekbench AI Score
873
Single Precision Score
848
Half Precision Score
1496
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 07:41 AM |
| 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% |
489
90.9 IPS |
|
|
Image Classification (HP)
|
100% |
528
98.3 IPS |
|
|
Image Classification (Q)
|
100% |
1456
270.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1738
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2393
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2368
2.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
3608
4.28 IPS |
|
|
Object Detection (SP)
|
100% |
506
40.1 IPS |
|
|
Object Detection (HP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (Q)
|
83% |
1284
103.7 IPS |
|
|
Face Detection (SP)
|
100% |
1324
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
1321
15.7 IPS |
|
|
Face Detection (Q)
|
95% |
2777
33.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1575
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1478
11.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
1933
17.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2431
3.16 IPS |
|
|
Style Transfer (HP)
|
89% |
2259
2.93 IPS |
|
|
Style Transfer (Q)
|
98% |
4905
6.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
709
26.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
713
26.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1168
43.3 IPS |
|
|
Text Classification (SP)
|
100% |
343
457.8 IPS |
|
|
Text Classification (HP)
|
100% |
346
462.0 IPS |
|
|
Text Classification (Q)
|
88% |
516
695.8 IPS |
|
|
Machine Translation (SP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.26 IPS |
|
|
Machine Translation (Q)
|
50% |
302
10.7 IPS |
