Google Pixel 7
Geekbench AI Score
916
Single Precision Score
894
Half Precision Score
1607
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kyfgsdkyhsdmhgfvd |
| Upload Date | October 21 2025 03:11 AM |
| Views | 5 |
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% |
511
95.0 IPS |
|
|
Image Classification (HP)
|
100% |
508
94.4 IPS |
|
|
Image Classification (Q)
|
100% |
1448
269.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
592
9.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
586
9.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
1566
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2122
2.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1931
2.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
2809
3.33 IPS |
|
|
Object Detection (SP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
355
28.2 IPS |
|
|
Object Detection (Q)
|
83% |
1015
82.0 IPS |
|
|
Face Detection (SP)
|
100% |
1232
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1197
14.2 IPS |
|
|
Face Detection (Q)
|
95% |
2475
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1570
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1569
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2614
23.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3185
4.13 IPS |
|
|
Style Transfer (HP)
|
89% |
3148
4.09 IPS |
|
|
Style Transfer (Q)
|
98% |
6591
8.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
904
33.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
889
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1594
59.1 IPS |
|
|
Text Classification (SP)
|
100% |
456
608.7 IPS |
|
|
Text Classification (HP)
|
100% |
457
610.5 IPS |
|
|
Text Classification (Q)
|
88% |
714
963.6 IPS |
|
|
Machine Translation (SP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (Q)
|
50% |
367
13.0 IPS |
