Google Pixel 7
Geekbench AI Score
863
Single Precision Score
832
Half Precision Score
1501
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 21 2025 01:26 AM |
| 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% |
520
96.8 IPS |
|
|
Image Classification (HP)
|
100% |
500
92.9 IPS |
|
|
Image Classification (Q)
|
100% |
1408
261.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
579
9.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
547
8.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
1460
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1806
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1634
1.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
2336
2.77 IPS |
|
|
Object Detection (SP)
|
100% |
365
28.9 IPS |
|
|
Object Detection (HP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (Q)
|
83% |
877
70.9 IPS |
|
|
Face Detection (SP)
|
100% |
1156
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1160
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
2328
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1509
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1598
12.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2526
23.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3163
4.11 IPS |
|
|
Style Transfer (HP)
|
89% |
2939
3.82 IPS |
|
|
Style Transfer (Q)
|
98% |
6063
7.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
855
31.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
857
31.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1451
53.8 IPS |
|
|
Text Classification (SP)
|
100% |
401
534.9 IPS |
|
|
Text Classification (HP)
|
100% |
389
518.9 IPS |
|
|
Text Classification (Q)
|
88% |
693
935.2 IPS |
|
|
Machine Translation (SP)
|
100% |
615
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
385
13.7 IPS |
