Google Pixel 7
Geekbench AI Score
1020
Single Precision Score
1015
Half Precision Score
1866
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 31 2025 10:45 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% |
530
98.6 IPS |
|
|
Image Classification (HP)
|
100% |
533
99.0 IPS |
|
|
Image Classification (Q)
|
100% |
1528
284.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1748
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2403
2.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2382
2.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
3514
4.17 IPS |
|
|
Object Detection (SP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (HP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (Q)
|
83% |
1243
100.4 IPS |
|
|
Face Detection (SP)
|
100% |
1391
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1417
16.8 IPS |
|
|
Face Detection (Q)
|
95% |
3230
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1846
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1832
14.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3114
28.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3712
4.82 IPS |
|
|
Style Transfer (HP)
|
89% |
3517
4.57 IPS |
|
|
Style Transfer (Q)
|
98% |
7248
9.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
986
36.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1735
64.3 IPS |
|
|
Text Classification (SP)
|
100% |
482
643.2 IPS |
|
|
Text Classification (HP)
|
100% |
504
672.7 IPS |
|
|
Text Classification (Q)
|
88% |
822
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
723
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (Q)
|
50% |
424
15.0 IPS |
