Google Pixel 7 Pro
Geekbench AI Score
969
Single Precision Score
948
Half Precision Score
1769
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 09:59 PM |
| Views | 1 |
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% |
524
97.4 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.7 IPS |
|
|
Image Classification (Q)
|
100% |
1515
281.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
632
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1735
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2420
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2164
2.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
3079
3.65 IPS |
|
|
Object Detection (SP)
|
100% |
428
33.9 IPS |
|
|
Object Detection (HP)
|
100% |
418
33.1 IPS |
|
|
Object Detection (Q)
|
83% |
1198
96.8 IPS |
|
|
Face Detection (SP)
|
100% |
1242
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1224
14.5 IPS |
|
|
Face Detection (Q)
|
95% |
2863
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1687
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1686
13.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2872
26.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3437
4.46 IPS |
|
|
Style Transfer (HP)
|
89% |
3232
4.20 IPS |
|
|
Style Transfer (Q)
|
98% |
7008
9.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
958
35.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
960
35.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1739
64.4 IPS |
|
|
Text Classification (SP)
|
100% |
455
607.0 IPS |
|
|
Text Classification (HP)
|
100% |
463
617.5 IPS |
|
|
Text Classification (Q)
|
88% |
772
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
676
11.6 IPS |
|
|
Machine Translation (Q)
|
50% |
401
14.2 IPS |
