Google Pixel 7
Geekbench AI Score
957
Single Precision Score
935
Half Precision Score
1686
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 16 2025 10:08 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% |
534
99.2 IPS |
|
|
Image Classification (HP)
|
100% |
524
97.4 IPS |
|
|
Image Classification (Q)
|
100% |
1490
277.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
602
9.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
613
9.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
1579
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2134
2.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1949
2.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
2593
3.08 IPS |
|
|
Object Detection (SP)
|
100% |
409
32.5 IPS |
|
|
Object Detection (HP)
|
100% |
400
31.8 IPS |
|
|
Object Detection (Q)
|
83% |
1096
88.6 IPS |
|
|
Face Detection (SP)
|
100% |
1216
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1230
14.6 IPS |
|
|
Face Detection (Q)
|
95% |
2864
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1752
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1710
13.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2860
26.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3433
4.46 IPS |
|
|
Style Transfer (HP)
|
89% |
3202
4.16 IPS |
|
|
Style Transfer (Q)
|
98% |
6638
8.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
908
33.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
974
36.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1745
64.7 IPS |
|
|
Text Classification (SP)
|
100% |
474
632.6 IPS |
|
|
Text Classification (HP)
|
100% |
472
630.4 IPS |
|
|
Text Classification (Q)
|
88% |
758
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (Q)
|
50% |
387
13.7 IPS |
