Google Pixel 7
Geekbench AI Score
875
Single Precision Score
853
Half Precision Score
1509
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 04:31 PM |
| Views | 2 |
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% |
521
96.8 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.6 IPS |
|
|
Image Classification (Q)
|
100% |
1510
280.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
598
9.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
600
9.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
1558
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2094
2.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
1771
2.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
2561
3.04 IPS |
|
|
Object Detection (SP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (HP)
|
100% |
366
29.0 IPS |
|
|
Object Detection (Q)
|
83% |
872
70.5 IPS |
|
|
Face Detection (SP)
|
100% |
1140
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1162
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
2453
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1575
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1506
11.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2254
20.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2981
3.87 IPS |
|
|
Style Transfer (HP)
|
89% |
2981
3.87 IPS |
|
|
Style Transfer (Q)
|
98% |
6090
7.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
855
31.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
851
31.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1459
54.1 IPS |
|
|
Text Classification (SP)
|
100% |
389
519.6 IPS |
|
|
Text Classification (HP)
|
100% |
390
520.0 IPS |
|
|
Text Classification (Q)
|
88% |
689
928.7 IPS |
|
|
Machine Translation (SP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
345
12.3 IPS |
