Google Pixel 7 Pro
Geekbench AI Score
1133
Single Precision Score
1125
Half Precision Score
2103
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 01:50 AM |
| Views | 1 |
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% |
553
102.8 IPS |
|
|
Image Classification (HP)
|
100% |
521
97.0 IPS |
|
|
Image Classification (Q)
|
100% |
1530
284.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
651
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1720
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2458
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2414
2.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
3647
4.32 IPS |
|
|
Object Detection (SP)
|
100% |
515
40.9 IPS |
|
|
Object Detection (HP)
|
100% |
514
40.8 IPS |
|
|
Object Detection (Q)
|
83% |
1434
115.8 IPS |
|
|
Face Detection (SP)
|
100% |
1601
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
1578
18.7 IPS |
|
|
Face Detection (Q)
|
95% |
3551
42.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2093
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2079
16.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3469
31.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4077
5.29 IPS |
|
|
Style Transfer (HP)
|
89% |
4094
5.32 IPS |
|
|
Style Transfer (Q)
|
98% |
8467
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1172
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1179
43.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2080
77.1 IPS |
|
|
Text Classification (SP)
|
100% |
549
733.0 IPS |
|
|
Text Classification (HP)
|
100% |
581
775.0 IPS |
|
|
Text Classification (Q)
|
88% |
1015
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
839
14.5 IPS |
|
|
Machine Translation (Q)
|
50% |
559
19.9 IPS |
