Google Pixel 7
Geekbench AI Score
917
Single Precision Score
878
Half Precision Score
1588
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 03:45 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% |
523
97.2 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.7 IPS |
|
|
Image Classification (Q)
|
100% |
1404
261.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
615
9.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
580
9.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
1632
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2035
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1814
2.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
2588
3.07 IPS |
|
|
Object Detection (SP)
|
100% |
369
29.3 IPS |
|
|
Object Detection (HP)
|
100% |
349
27.7 IPS |
|
|
Object Detection (Q)
|
83% |
955
77.2 IPS |
|
|
Face Detection (SP)
|
100% |
1192
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
1236
14.7 IPS |
|
|
Face Detection (Q)
|
95% |
2630
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1598
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1598
12.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2615
23.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3214
4.17 IPS |
|
|
Style Transfer (HP)
|
89% |
2999
3.89 IPS |
|
|
Style Transfer (Q)
|
98% |
6581
8.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
915
33.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
897
33.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1588
58.8 IPS |
|
|
Text Classification (SP)
|
100% |
441
589.0 IPS |
|
|
Text Classification (HP)
|
100% |
441
588.8 IPS |
|
|
Text Classification (Q)
|
88% |
691
932.6 IPS |
|
|
Machine Translation (SP)
|
100% |
705
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (Q)
|
50% |
364
12.9 IPS |
