Google Pixel 7
Geekbench AI Score
814
Single Precision Score
783
Half Precision Score
1373
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 02:38 AM |
| Views | 5 |
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% |
488
90.7 IPS |
|
|
Image Classification (HP)
|
100% |
498
92.6 IPS |
|
|
Image Classification (Q)
|
100% |
1408
261.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
579
9.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
1472
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1927
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1440
1.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
1883
2.23 IPS |
|
|
Object Detection (SP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (HP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (Q)
|
83% |
798
64.4 IPS |
|
|
Face Detection (SP)
|
100% |
1050
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1058
12.6 IPS |
|
|
Face Detection (Q)
|
95% |
2187
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1524
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1419
10.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2165
19.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2979
3.87 IPS |
|
|
Style Transfer (HP)
|
89% |
2672
3.47 IPS |
|
|
Style Transfer (Q)
|
98% |
5371
6.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
774
28.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
864
31.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1452
53.8 IPS |
|
|
Text Classification (SP)
|
100% |
362
483.4 IPS |
|
|
Text Classification (HP)
|
100% |
360
480.1 IPS |
|
|
Text Classification (Q)
|
88% |
634
854.8 IPS |
|
|
Machine Translation (SP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
579
9.98 IPS |
|
|
Machine Translation (Q)
|
50% |
328
11.6 IPS |
