Google Pixel 7
Geekbench AI Score
1010
Single Precision Score
1013
Half Precision Score
1834
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 12:39 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 | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
490
91.1 IPS |
|
|
Image Classification (HP)
|
100% |
536
99.7 IPS |
|
|
Image Classification (Q)
|
100% |
1468
273.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
651
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1726
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2445
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2377
2.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
3515
4.17 IPS |
|
|
Object Detection (SP)
|
100% |
474
37.6 IPS |
|
|
Object Detection (HP)
|
100% |
449
35.6 IPS |
|
|
Object Detection (Q)
|
83% |
1236
99.8 IPS |
|
|
Face Detection (SP)
|
100% |
1386
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1427
17.0 IPS |
|
|
Face Detection (Q)
|
95% |
3147
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1824
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1812
14.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2934
26.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3669
4.76 IPS |
|
|
Style Transfer (HP)
|
89% |
3494
4.54 IPS |
|
|
Style Transfer (Q)
|
98% |
7223
9.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
979
36.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
979
36.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1738
64.4 IPS |
|
|
Text Classification (SP)
|
100% |
462
617.2 IPS |
|
|
Text Classification (HP)
|
100% |
500
667.1 IPS |
|
|
Text Classification (Q)
|
88% |
797
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
694
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
424
15.1 IPS |
