Google Pixel 7
Geekbench AI Score
993
Single Precision Score
976
Half Precision Score
1764
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 05 2026 11:51 PM |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
524
97.4 IPS |
|
|
Image Classification (HP)
|
100% |
523
97.3 IPS |
|
|
Image Classification (Q)
|
100% |
1512
281.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
651
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1733
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2348
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2210
2.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
3452
4.09 IPS |
|
|
Object Detection (SP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (HP)
|
100% |
432
34.2 IPS |
|
|
Object Detection (Q)
|
83% |
1165
94.1 IPS |
|
|
Face Detection (SP)
|
100% |
1352
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
1385
16.5 IPS |
|
|
Face Detection (Q)
|
95% |
3202
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1802
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1780
13.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2844
26.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3471
4.51 IPS |
|
|
Style Transfer (HP)
|
89% |
3439
4.46 IPS |
|
|
Style Transfer (Q)
|
98% |
6580
8.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
967
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
963
35.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1586
58.8 IPS |
|
|
Text Classification (SP)
|
100% |
463
618.4 IPS |
|
|
Text Classification (HP)
|
100% |
461
614.8 IPS |
|
|
Text Classification (Q)
|
88% |
734
989.7 IPS |
|
|
Machine Translation (SP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
397
14.1 IPS |
