Google Pixel 7
Geekbench AI Score
1062
Single Precision Score
1029
Half Precision Score
1896
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 28 2025 09:57 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% |
530
98.6 IPS |
|
|
Image Classification (HP)
|
100% |
528
98.2 IPS |
|
|
Image Classification (Q)
|
100% |
1468
272.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1711
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2440
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2371
2.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
3631
4.31 IPS |
|
|
Object Detection (SP)
|
100% |
510
40.4 IPS |
|
|
Object Detection (HP)
|
100% |
490
38.9 IPS |
|
|
Object Detection (Q)
|
83% |
1350
109.1 IPS |
|
|
Face Detection (SP)
|
100% |
1530
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1458
17.3 IPS |
|
|
Face Detection (Q)
|
95% |
3143
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1772
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1781
13.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3081
28.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3649
4.74 IPS |
|
|
Style Transfer (HP)
|
89% |
3635
4.72 IPS |
|
|
Style Transfer (Q)
|
98% |
7702
9.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1027
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1027
37.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1869
69.2 IPS |
|
|
Text Classification (SP)
|
100% |
530
706.8 IPS |
|
|
Text Classification (HP)
|
100% |
513
685.1 IPS |
|
|
Text Classification (Q)
|
88% |
874
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (Q)
|
50% |
402
14.3 IPS |
