Google Pixel 7
Geekbench AI Score
740
Single Precision Score
727
Half Precision Score
1251
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | ritik1207 |
| Upload Date | October 20 2025 02:30 PM |
| Views | 8 |
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% |
491
91.3 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.3 IPS |
|
|
Image Classification (Q)
|
100% |
1350
251.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
575
9.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
1343
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1780
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1287
1.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
1891
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (HP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (Q)
|
83% |
740
59.8 IPS |
|
|
Face Detection (SP)
|
100% |
973
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
979
11.6 IPS |
|
|
Face Detection (Q)
|
95% |
2070
24.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1370
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1303
10.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
1958
17.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2320
3.01 IPS |
|
|
Style Transfer (HP)
|
89% |
2444
3.17 IPS |
|
|
Style Transfer (Q)
|
98% |
4457
5.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
645
23.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
715
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1171
43.4 IPS |
|
|
Text Classification (SP)
|
100% |
323
430.9 IPS |
|
|
Text Classification (HP)
|
100% |
350
466.6 IPS |
|
|
Text Classification (Q)
|
88% |
556
749.4 IPS |
|
|
Machine Translation (SP)
|
100% |
531
9.14 IPS |
|
|
Machine Translation (HP)
|
100% |
527
9.08 IPS |
|
|
Machine Translation (Q)
|
50% |
316
11.2 IPS |
