Google Pixel 7
Geekbench AI Score
851
Single Precision Score
806
Half Precision Score
1468
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 06:30 PM |
| Views | 8 |
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% |
522
97.0 IPS |
|
|
Image Classification (HP)
|
100% |
517
96.1 IPS |
|
|
Image Classification (Q)
|
100% |
1398
259.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
579
9.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
1552
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2005
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1581
1.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
2106
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
327
25.9 IPS |
|
|
Object Detection (HP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (Q)
|
83% |
952
76.9 IPS |
|
|
Face Detection (SP)
|
100% |
1165
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1170
13.9 IPS |
|
|
Face Detection (Q)
|
95% |
2312
27.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1521
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1512
11.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2352
21.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2949
3.83 IPS |
|
|
Style Transfer (HP)
|
89% |
2665
3.46 IPS |
|
|
Style Transfer (Q)
|
98% |
5989
7.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
842
31.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
847
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1448
53.7 IPS |
|
|
Text Classification (SP)
|
100% |
360
480.0 IPS |
|
|
Text Classification (HP)
|
100% |
351
468.8 IPS |
|
|
Text Classification (Q)
|
88% |
626
844.8 IPS |
|
|
Machine Translation (SP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
532
9.16 IPS |
|
|
Machine Translation (Q)
|
50% |
362
12.8 IPS |
