Google Pixel 7 Pro
Geekbench AI Score
1107
Single Precision Score
1106
Half Precision Score
2077
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Alan156 |
| Upload Date | November 23 2024 03:30 AM |
| Views | 3 |
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 | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
510
94.8 IPS |
|
|
Image Classification (HP)
|
100% |
528
98.1 IPS |
|
|
Image Classification (Q)
|
100% |
1440
267.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1714
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2381
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2347
2.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
3599
4.27 IPS |
|
|
Object Detection (SP)
|
100% |
504
40.0 IPS |
|
|
Object Detection (HP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (Q)
|
83% |
1442
116.5 IPS |
|
|
Face Detection (SP)
|
100% |
1554
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1565
18.6 IPS |
|
|
Face Detection (Q)
|
95% |
3527
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2030
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2017
15.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3440
31.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4026
5.23 IPS |
|
|
Style Transfer (HP)
|
89% |
4027
5.23 IPS |
|
|
Style Transfer (Q)
|
98% |
8507
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1140
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1154
42.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2079
77.0 IPS |
|
|
Text Classification (SP)
|
100% |
577
770.6 IPS |
|
|
Text Classification (HP)
|
100% |
575
768.1 IPS |
|
|
Text Classification (Q)
|
88% |
1009
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (Q)
|
50% |
540
19.2 IPS |
