Google Pixel 7
Geekbench AI Score
790
Single Precision Score
769
Half Precision Score
1373
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 01:50 AM |
| 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% |
521
96.8 IPS |
|
|
Image Classification (HP)
|
100% |
495
92.1 IPS |
|
|
Image Classification (Q)
|
100% |
1394
259.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
571
9.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
561
9.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
1465
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1896
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1345
1.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
1879
2.23 IPS |
|
|
Object Detection (SP)
|
100% |
255
20.3 IPS |
|
|
Object Detection (HP)
|
100% |
297
23.6 IPS |
|
|
Object Detection (Q)
|
83% |
802
64.8 IPS |
|
|
Face Detection (SP)
|
100% |
984
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
1035
12.3 IPS |
|
|
Face Detection (Q)
|
95% |
2183
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1370
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1372
10.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2358
21.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2876
3.73 IPS |
|
|
Style Transfer (HP)
|
89% |
2637
3.42 IPS |
|
|
Style Transfer (Q)
|
98% |
5363
6.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
760
28.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
802
29.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1441
53.4 IPS |
|
|
Text Classification (SP)
|
100% |
384
512.9 IPS |
|
|
Text Classification (HP)
|
100% |
390
520.7 IPS |
|
|
Text Classification (Q)
|
88% |
605
816.3 IPS |
|
|
Machine Translation (SP)
|
100% |
583
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
561
9.66 IPS |
|
|
Machine Translation (Q)
|
50% |
322
11.4 IPS |
