Google Pixel 7
Geekbench AI Score
776
Single Precision Score
720
Half Precision Score
1294
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 05:39 PM |
| Views | 4 |
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% |
508
94.5 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.7 IPS |
|
|
Image Classification (Q)
|
100% |
1384
257.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
572
9.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
571
9.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
1456
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1888
2.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1417
1.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
1901
2.26 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.1 IPS |
|
|
Object Detection (HP)
|
100% |
264
21.0 IPS |
|
|
Object Detection (Q)
|
83% |
735
59.3 IPS |
|
|
Face Detection (SP)
|
100% |
950
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
954
11.3 IPS |
|
|
Face Detection (Q)
|
95% |
1959
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1370
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1257
9.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
2114
19.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2630
3.41 IPS |
|
|
Style Transfer (HP)
|
89% |
2419
3.14 IPS |
|
|
Style Transfer (Q)
|
98% |
4909
6.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
752
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
702
25.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1298
48.1 IPS |
|
|
Text Classification (SP)
|
100% |
349
465.9 IPS |
|
|
Text Classification (HP)
|
100% |
351
468.2 IPS |
|
|
Text Classification (Q)
|
88% |
544
733.7 IPS |
|
|
Machine Translation (SP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (Q)
|
50% |
328
11.6 IPS |
