Google Pixel 7
Geekbench AI Score
812
Single Precision Score
771
Half Precision Score
1396
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 02:05 AM |
| Views | 3 |
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% |
526
97.8 IPS |
|
|
Image Classification (HP)
|
100% |
494
91.8 IPS |
|
|
Image Classification (Q)
|
100% |
1393
259.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
566
9.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
537
8.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
1542
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1845
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1383
1.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
1879
2.23 IPS |
|
|
Object Detection (SP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (HP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (Q)
|
83% |
885
71.5 IPS |
|
|
Face Detection (SP)
|
100% |
1029
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1048
12.4 IPS |
|
|
Face Detection (Q)
|
95% |
2150
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1536
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1349
10.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2332
21.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2909
3.78 IPS |
|
|
Style Transfer (HP)
|
89% |
2663
3.46 IPS |
|
|
Style Transfer (Q)
|
98% |
5995
7.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
756
27.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
881
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1299
48.1 IPS |
|
|
Text Classification (SP)
|
100% |
354
472.9 IPS |
|
|
Text Classification (HP)
|
100% |
401
535.4 IPS |
|
|
Text Classification (Q)
|
88% |
631
850.8 IPS |
|
|
Machine Translation (SP)
|
100% |
607
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
515
8.88 IPS |
|
|
Machine Translation (Q)
|
50% |
321
11.4 IPS |
