Google Pixel 7
Geekbench AI Score
851
Single Precision Score
815
Half Precision Score
1431
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2025 01:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
528
98.2 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.3 IPS |
|
|
Image Classification (Q)
|
100% |
1455
270.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
576
9.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
1497
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1932
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1487
1.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
1945
2.31 IPS |
|
|
Object Detection (SP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (HP)
|
100% |
321
25.5 IPS |
|
|
Object Detection (Q)
|
83% |
809
65.3 IPS |
|
|
Face Detection (SP)
|
100% |
1068
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
1046
12.4 IPS |
|
|
Face Detection (Q)
|
95% |
2295
27.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1549
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1469
11.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2414
22.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2961
3.84 IPS |
|
|
Style Transfer (HP)
|
89% |
2975
3.86 IPS |
|
|
Style Transfer (Q)
|
98% |
5811
7.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
864
31.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
824
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1473
54.6 IPS |
|
|
Text Classification (SP)
|
100% |
404
539.5 IPS |
|
|
Text Classification (HP)
|
100% |
409
545.8 IPS |
|
|
Text Classification (Q)
|
88% |
638
860.3 IPS |
|
|
Machine Translation (SP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
595
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
348
12.4 IPS |
