Google Pixel 7
Geekbench AI Score
848
Single Precision Score
807
Half Precision Score
1451
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 07:19 PM |
| Views | 2 |
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% |
522
97.0 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.8 IPS |
|
|
Image Classification (Q)
|
100% |
1410
262.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
609
9.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
567
9.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
1569
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1978
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1505
1.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
1862
2.21 IPS |
|
|
Object Detection (SP)
|
100% |
298
23.6 IPS |
|
|
Object Detection (HP)
|
100% |
323
25.6 IPS |
|
|
Object Detection (Q)
|
83% |
895
72.3 IPS |
|
|
Face Detection (SP)
|
100% |
1060
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1160
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
2477
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1535
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1527
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2353
21.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2978
3.87 IPS |
|
|
Style Transfer (HP)
|
89% |
2673
3.47 IPS |
|
|
Style Transfer (Q)
|
98% |
5975
7.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
853
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
765
28.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1461
54.1 IPS |
|
|
Text Classification (SP)
|
100% |
395
527.5 IPS |
|
|
Text Classification (HP)
|
100% |
402
536.6 IPS |
|
|
Text Classification (Q)
|
88% |
629
847.8 IPS |
|
|
Machine Translation (SP)
|
100% |
636
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
568
9.78 IPS |
|
|
Machine Translation (Q)
|
50% |
352
12.5 IPS |
