Google Pixel 7
Geekbench AI Score
832
Single Precision Score
793
Half Precision Score
1417
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 29 2025 01:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
522
97.0 IPS |
|
|
Image Classification (HP)
|
100% |
527
98.0 IPS |
|
|
Image Classification (Q)
|
100% |
1405
261.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
602
9.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
569
9.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
1581
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1925
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1482
1.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
2070
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (HP)
|
100% |
298
23.7 IPS |
|
|
Object Detection (Q)
|
83% |
862
69.7 IPS |
|
|
Face Detection (SP)
|
100% |
1047
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1048
12.5 IPS |
|
|
Face Detection (Q)
|
95% |
2204
26.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1515
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1352
10.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2163
19.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2681
3.48 IPS |
|
|
Style Transfer (HP)
|
89% |
2691
3.49 IPS |
|
|
Style Transfer (Q)
|
98% |
5823
7.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
858
31.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
843
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1455
53.9 IPS |
|
|
Text Classification (SP)
|
100% |
409
545.8 IPS |
|
|
Text Classification (HP)
|
100% |
392
523.5 IPS |
|
|
Text Classification (Q)
|
88% |
633
853.5 IPS |
|
|
Machine Translation (SP)
|
100% |
595
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
591
10.2 IPS |
|
|
Machine Translation (Q)
|
50% |
324
11.5 IPS |
