Google Pixel 7 Pro
Geekbench AI Score
846
Single Precision Score
807
Half Precision Score
1441
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Nickayz |
| Upload Date | June 13 2025 12:46 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% |
487
90.6 IPS |
|
|
Image Classification (HP)
|
100% |
530
98.6 IPS |
|
|
Image Classification (Q)
|
100% |
1502
279.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1599
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1783
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1893
2.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
2093
2.48 IPS |
|
|
Object Detection (SP)
|
100% |
327
25.9 IPS |
|
|
Object Detection (HP)
|
100% |
301
23.9 IPS |
|
|
Object Detection (Q)
|
83% |
904
73.0 IPS |
|
|
Face Detection (SP)
|
100% |
1036
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1031
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
2210
26.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1523
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1397
10.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2156
19.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2960
3.84 IPS |
|
|
Style Transfer (HP)
|
89% |
2661
3.45 IPS |
|
|
Style Transfer (Q)
|
98% |
5617
7.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
855
31.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
791
29.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1473
54.6 IPS |
|
|
Text Classification (SP)
|
100% |
402
536.1 IPS |
|
|
Text Classification (HP)
|
100% |
393
524.1 IPS |
|
|
Text Classification (Q)
|
88% |
631
850.5 IPS |
|
|
Machine Translation (SP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
517
8.90 IPS |
|
|
Machine Translation (Q)
|
50% |
343
12.2 IPS |
