Google Pixel 7
Geekbench AI Score
968
Single Precision Score
944
Half Precision Score
1714
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 17 2025 05:16 AM |
| Views | 3 |
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% |
532
98.9 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.8 IPS |
|
|
Image Classification (Q)
|
100% |
1476
274.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1711
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2476
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2116
2.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
3092
3.67 IPS |
|
|
Object Detection (SP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (HP)
|
100% |
404
32.1 IPS |
|
|
Object Detection (Q)
|
83% |
1108
89.5 IPS |
|
|
Face Detection (SP)
|
100% |
1265
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1342
15.9 IPS |
|
|
Face Detection (Q)
|
95% |
2949
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1622
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1627
12.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2615
24.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3486
4.53 IPS |
|
|
Style Transfer (HP)
|
89% |
3213
4.17 IPS |
|
|
Style Transfer (Q)
|
98% |
6637
8.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
918
33.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
977
36.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1725
63.9 IPS |
|
|
Text Classification (SP)
|
100% |
444
592.5 IPS |
|
|
Text Classification (HP)
|
100% |
445
593.8 IPS |
|
|
Text Classification (Q)
|
88% |
758
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (Q)
|
50% |
380
13.5 IPS |
