Google Pixel 7
Geekbench AI Score
850
Single Precision Score
838
Half Precision Score
1460
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 19 2025 11:53 PM |
| Views | 2 |
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% |
522
97.1 IPS |
|
|
Image Classification (HP)
|
100% |
503
93.6 IPS |
|
|
Image Classification (Q)
|
100% |
1449
269.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
587
9.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
575
9.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
1478
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1924
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1659
1.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
2082
2.47 IPS |
|
|
Object Detection (SP)
|
100% |
318
25.3 IPS |
|
|
Object Detection (HP)
|
100% |
317
25.2 IPS |
|
|
Object Detection (Q)
|
83% |
883
71.4 IPS |
|
|
Face Detection (SP)
|
100% |
1045
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1174
14.0 IPS |
|
|
Face Detection (Q)
|
95% |
2455
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1536
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1542
11.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2354
21.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3199
4.15 IPS |
|
|
Style Transfer (HP)
|
89% |
2961
3.84 IPS |
|
|
Style Transfer (Q)
|
98% |
5961
7.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
764
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
872
32.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1466
54.3 IPS |
|
|
Text Classification (SP)
|
100% |
412
549.7 IPS |
|
|
Text Classification (HP)
|
100% |
408
544.5 IPS |
|
|
Text Classification (Q)
|
88% |
636
857.2 IPS |
|
|
Machine Translation (SP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
595
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
348
12.4 IPS |
