Google Pixel 7 Pro
Geekbench AI Score
880
Single Precision Score
879
Half Precision Score
1510
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Nickayz |
| Upload Date | June 14 2025 03:05 PM |
| Views | 9 |
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% |
531
98.7 IPS |
|
|
Image Classification (HP)
|
100% |
527
98.1 IPS |
|
|
Image Classification (Q)
|
100% |
1517
282.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1360
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1812
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1990
2.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
2813
3.34 IPS |
|
|
Object Detection (SP)
|
100% |
368
29.2 IPS |
|
|
Object Detection (HP)
|
100% |
359
28.5 IPS |
|
|
Object Detection (Q)
|
83% |
891
72.0 IPS |
|
|
Face Detection (SP)
|
100% |
1117
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
1164
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
2490
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1519
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1517
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2162
19.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2971
3.86 IPS |
|
|
Style Transfer (HP)
|
89% |
2971
3.86 IPS |
|
|
Style Transfer (Q)
|
98% |
6032
7.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
865
31.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
864
31.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1461
54.1 IPS |
|
|
Text Classification (SP)
|
100% |
429
572.1 IPS |
|
|
Text Classification (HP)
|
100% |
434
579.7 IPS |
|
|
Text Classification (Q)
|
88% |
693
934.5 IPS |
|
|
Machine Translation (SP)
|
100% |
653
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (Q)
|
50% |
364
12.9 IPS |
