Google Pixel 7 Pro
Geekbench AI Score
858
Single Precision Score
807
Half Precision Score
1428
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Nickayz |
| Upload Date | June 14 2025 05:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 7 Pro |
| Model ID | Google Pixel 7 Pro |
| Motherboard | cheetah |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
530
98.5 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.8 IPS |
|
|
Image Classification (Q)
|
100% |
1417
263.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
606
9.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
567
9.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
1568
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2026
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1614
1.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
2079
2.47 IPS |
|
|
Object Detection (SP)
|
100% |
333
26.4 IPS |
|
|
Object Detection (HP)
|
100% |
331
26.3 IPS |
|
|
Object Detection (Q)
|
83% |
897
72.5 IPS |
|
|
Face Detection (SP)
|
100% |
1038
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1044
12.4 IPS |
|
|
Face Detection (Q)
|
95% |
2473
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1519
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1362
10.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2137
19.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2953
3.83 IPS |
|
|
Style Transfer (HP)
|
89% |
2695
3.50 IPS |
|
|
Style Transfer (Q)
|
98% |
5390
6.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
864
31.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
832
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1468
54.4 IPS |
|
|
Text Classification (SP)
|
100% |
399
532.6 IPS |
|
|
Text Classification (HP)
|
100% |
402
535.9 IPS |
|
|
Text Classification (Q)
|
88% |
630
849.2 IPS |
|
|
Machine Translation (SP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
591
10.2 IPS |
|
|
Machine Translation (Q)
|
50% |
325
11.5 IPS |
