Google Pixel 7
Geekbench AI Score
856
Single Precision Score
833
Half Precision Score
1452
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 01:58 AM |
| Views | 7 |
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% |
532
98.9 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.6 IPS |
|
|
Image Classification (Q)
|
100% |
1407
261.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
584
9.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
580
9.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
1476
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1952
2.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1546
1.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
2060
2.44 IPS |
|
|
Object Detection (SP)
|
100% |
330
26.2 IPS |
|
|
Object Detection (HP)
|
100% |
330
26.1 IPS |
|
|
Object Detection (Q)
|
83% |
887
71.6 IPS |
|
|
Face Detection (SP)
|
100% |
1164
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1177
14.0 IPS |
|
|
Face Detection (Q)
|
95% |
2213
26.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1550
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1552
12.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2376
21.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2952
3.83 IPS |
|
|
Style Transfer (HP)
|
89% |
2992
3.88 IPS |
|
|
Style Transfer (Q)
|
98% |
6058
7.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
815
30.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
867
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1458
54.0 IPS |
|
|
Text Classification (SP)
|
100% |
393
525.0 IPS |
|
|
Text Classification (HP)
|
100% |
392
522.9 IPS |
|
|
Text Classification (Q)
|
88% |
648
874.0 IPS |
|
|
Machine Translation (SP)
|
100% |
621
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (Q)
|
50% |
366
13.0 IPS |
