Google Pixel 7 Pro
Geekbench AI Score
961
Single Precision Score
942
Half Precision Score
1746
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | harman767 |
| Upload Date | March 26 2025 07:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
487
90.5 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.7 IPS |
|
|
Image Classification (Q)
|
100% |
1512
281.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1711
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2357
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2168
2.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
3358
3.98 IPS |
|
|
Object Detection (SP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (HP)
|
100% |
428
34.0 IPS |
|
|
Object Detection (Q)
|
83% |
1133
91.5 IPS |
|
|
Face Detection (SP)
|
100% |
1275
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
1313
15.6 IPS |
|
|
Face Detection (Q)
|
95% |
2908
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1681
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1693
13.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2899
26.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3472
4.51 IPS |
|
|
Style Transfer (HP)
|
89% |
3231
4.19 IPS |
|
|
Style Transfer (Q)
|
98% |
6708
8.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
899
33.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
905
33.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1608
59.6 IPS |
|
|
Text Classification (SP)
|
100% |
437
583.4 IPS |
|
|
Text Classification (HP)
|
100% |
461
615.3 IPS |
|
|
Text Classification (Q)
|
88% |
716
966.3 IPS |
|
|
Machine Translation (SP)
|
100% |
704
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (Q)
|
50% |
411
14.6 IPS |
