Google Pixel 7
Geekbench AI Score
797
Single Precision Score
793
Half Precision Score
1422
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 08:28 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% |
485
90.2 IPS |
|
|
Image Classification (HP)
|
100% |
513
95.3 IPS |
|
|
Image Classification (Q)
|
100% |
1508
280.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1732
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1925
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1817
2.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
2347
2.78 IPS |
|
|
Object Detection (SP)
|
100% |
346
27.5 IPS |
|
|
Object Detection (HP)
|
100% |
335
26.6 IPS |
|
|
Object Detection (Q)
|
83% |
921
74.4 IPS |
|
|
Face Detection (SP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1036
12.3 IPS |
|
|
Face Detection (Q)
|
95% |
2192
26.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1435
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1331
10.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2152
19.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2670
3.47 IPS |
|
|
Style Transfer (HP)
|
89% |
2648
3.44 IPS |
|
|
Style Transfer (Q)
|
98% |
5500
7.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
753
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
771
28.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1316
48.8 IPS |
|
|
Text Classification (SP)
|
100% |
327
436.2 IPS |
|
|
Text Classification (HP)
|
100% |
344
458.9 IPS |
|
|
Text Classification (Q)
|
88% |
563
759.2 IPS |
|
|
Machine Translation (SP)
|
100% |
521
8.97 IPS |
|
|
Machine Translation (HP)
|
100% |
520
8.96 IPS |
|
|
Machine Translation (Q)
|
50% |
313
11.1 IPS |
