Google Pixel 7
Geekbench AI Score
1060
Single Precision Score
1031
Half Precision Score
1882
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | edesattila |
| Upload Date | May 26 2025 04:14 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 7 |
| Model ID | Google Pixel 7 |
| Motherboard | panther |
| 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 | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
535
99.5 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.8 IPS |
|
|
Image Classification (Q)
|
100% |
1464
272.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1806
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2399
2.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2361
2.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
3663
4.34 IPS |
|
|
Object Detection (SP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (HP)
|
100% |
507
40.3 IPS |
|
|
Object Detection (Q)
|
83% |
1398
112.9 IPS |
|
|
Face Detection (SP)
|
100% |
1581
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1561
18.5 IPS |
|
|
Face Detection (Q)
|
95% |
3217
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1882
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1832
14.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3080
28.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3658
4.75 IPS |
|
|
Style Transfer (HP)
|
89% |
3486
4.53 IPS |
|
|
Style Transfer (Q)
|
98% |
7280
9.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1015
37.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1014
37.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1751
64.9 IPS |
|
|
Text Classification (SP)
|
100% |
525
700.2 IPS |
|
|
Text Classification (HP)
|
100% |
517
690.6 IPS |
|
|
Text Classification (Q)
|
88% |
818
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
742
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (Q)
|
50% |
400
14.2 IPS |
