Google Pixel 7
Geekbench AI Score
909
Single Precision Score
892
Half Precision Score
1590
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | October 23 2025 01:58 PM |
| 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% |
524
97.5 IPS |
|
|
Image Classification (HP)
|
100% |
522
97.1 IPS |
|
|
Image Classification (Q)
|
100% |
1462
272.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
608
9.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
613
9.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
1590
25.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2142
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1801
2.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
2582
3.06 IPS |
|
|
Object Detection (SP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (HP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (Q)
|
83% |
1014
81.9 IPS |
|
|
Face Detection (SP)
|
100% |
1170
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1237
14.7 IPS |
|
|
Face Detection (Q)
|
95% |
2603
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1602
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1624
12.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2626
24.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3096
4.02 IPS |
|
|
Style Transfer (HP)
|
89% |
3192
4.14 IPS |
|
|
Style Transfer (Q)
|
98% |
6061
7.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
910
33.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
914
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1606
59.5 IPS |
|
|
Text Classification (SP)
|
100% |
431
575.9 IPS |
|
|
Text Classification (HP)
|
100% |
428
571.6 IPS |
|
|
Text Classification (Q)
|
88% |
695
937.8 IPS |
|
|
Machine Translation (SP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
369
13.1 IPS |
