Google Pixel 7
Geekbench AI Score
883
Single Precision Score
881
Half Precision Score
1550
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Nickayz |
| Upload Date | June 13 2025 12:46 PM |
| Views | 6 |
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% |
488
90.8 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.3 IPS |
|
|
Image Classification (Q)
|
100% |
1424
264.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
616
9.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
604
9.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
1653
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2204
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
1948
2.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
2593
3.08 IPS |
|
|
Object Detection (SP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (HP)
|
100% |
370
29.4 IPS |
|
|
Object Detection (Q)
|
83% |
991
80.1 IPS |
|
|
Face Detection (SP)
|
100% |
1185
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1231
14.6 IPS |
|
|
Face Detection (Q)
|
95% |
2641
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1606
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1618
12.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2436
22.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2979
3.87 IPS |
|
|
Style Transfer (HP)
|
89% |
2942
3.82 IPS |
|
|
Style Transfer (Q)
|
98% |
6111
7.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
863
31.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
853
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1465
54.3 IPS |
|
|
Text Classification (SP)
|
100% |
402
536.0 IPS |
|
|
Text Classification (HP)
|
100% |
416
554.7 IPS |
|
|
Text Classification (Q)
|
88% |
670
903.4 IPS |
|
|
Machine Translation (SP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (Q)
|
50% |
343
12.2 IPS |
