Google Pixel 7 Pro
Geekbench AI Score
1046
Single Precision Score
1041
Half Precision Score
1957
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 29 2025 12:09 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 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% |
534
99.4 IPS |
|
|
Image Classification (HP)
|
100% |
531
98.8 IPS |
|
|
Image Classification (Q)
|
100% |
1547
287.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1720
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2449
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2406
2.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
3646
4.32 IPS |
|
|
Object Detection (SP)
|
100% |
495
39.3 IPS |
|
|
Object Detection (HP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (Q)
|
83% |
1435
115.9 IPS |
|
|
Face Detection (SP)
|
100% |
1342
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
1478
17.6 IPS |
|
|
Face Detection (Q)
|
95% |
3351
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1946
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1800
13.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3106
28.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3698
4.80 IPS |
|
|
Style Transfer (HP)
|
89% |
3487
4.53 IPS |
|
|
Style Transfer (Q)
|
98% |
7680
9.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1057
39.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1041
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1899
70.4 IPS |
|
|
Text Classification (SP)
|
100% |
519
692.5 IPS |
|
|
Text Classification (HP)
|
100% |
520
694.7 IPS |
|
|
Text Classification (Q)
|
88% |
895
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (Q)
|
50% |
436
15.5 IPS |
