Google Pixel 7
Geekbench AI Score
1097
Single Precision Score
1073
Half Precision Score
2035
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 24 2025 01:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
493
91.7 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.6 IPS |
|
|
Image Classification (Q)
|
100% |
1542
286.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
657
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1804
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2408
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2371
2.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
3663
4.34 IPS |
|
|
Object Detection (SP)
|
100% |
510
40.4 IPS |
|
|
Object Detection (HP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (Q)
|
83% |
1433
115.7 IPS |
|
|
Face Detection (SP)
|
100% |
1582
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1563
18.6 IPS |
|
|
Face Detection (Q)
|
95% |
3548
42.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2025
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2024
15.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3467
31.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4043
5.25 IPS |
|
|
Style Transfer (HP)
|
89% |
4053
5.26 IPS |
|
|
Style Transfer (Q)
|
98% |
8533
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1145
42.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1042
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1947
72.1 IPS |
|
|
Text Classification (SP)
|
100% |
528
704.3 IPS |
|
|
Text Classification (HP)
|
100% |
520
694.2 IPS |
|
|
Text Classification (Q)
|
88% |
871
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (Q)
|
50% |
469
16.6 IPS |
