Google Pixel 7
Geekbench AI Score
1062
Single Precision Score
1050
Half Precision Score
1932
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 14 2025 10:54 AM |
| Views | 4 |
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% |
525
97.6 IPS |
|
|
Image Classification (HP)
|
100% |
525
97.6 IPS |
|
|
Image Classification (Q)
|
100% |
1469
273.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1746
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2394
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2359
2.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
3616
4.29 IPS |
|
|
Object Detection (SP)
|
100% |
509
40.3 IPS |
|
|
Object Detection (HP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (Q)
|
83% |
1346
108.7 IPS |
|
|
Face Detection (SP)
|
100% |
1519
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
1437
17.1 IPS |
|
|
Face Detection (Q)
|
95% |
3064
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1891
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1899
14.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3027
27.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3647
4.73 IPS |
|
|
Style Transfer (HP)
|
89% |
3646
4.73 IPS |
|
|
Style Transfer (Q)
|
98% |
7673
9.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1038
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1038
38.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1873
69.4 IPS |
|
|
Text Classification (SP)
|
100% |
529
706.0 IPS |
|
|
Text Classification (HP)
|
100% |
530
707.3 IPS |
|
|
Text Classification (Q)
|
88% |
930
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.7 IPS |
|
|
Machine Translation (Q)
|
50% |
469
16.7 IPS |
