Google Pixel 7
Geekbench AI Score
985
Single Precision Score
978
Half Precision Score
1765
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 12:32 PM |
| 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% |
532
98.8 IPS |
|
|
Image Classification (HP)
|
100% |
521
96.8 IPS |
|
|
Image Classification (Q)
|
100% |
1462
271.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1722
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2383
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2152
2.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
3101
3.68 IPS |
|
|
Object Detection (SP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (HP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (Q)
|
83% |
1155
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
1336
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
1344
16.0 IPS |
|
|
Face Detection (Q)
|
95% |
2967
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1737
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1722
13.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2844
26.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3491
4.53 IPS |
|
|
Style Transfer (HP)
|
89% |
3440
4.47 IPS |
|
|
Style Transfer (Q)
|
98% |
6686
8.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
917
33.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
967
35.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1751
64.9 IPS |
|
|
Text Classification (SP)
|
100% |
479
639.1 IPS |
|
|
Text Classification (HP)
|
100% |
470
626.8 IPS |
|
|
Text Classification (Q)
|
88% |
757
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (Q)
|
50% |
437
15.5 IPS |
