Google Pixel 7
Geekbench AI Score
1038
Single Precision Score
1007
Half Precision Score
1871
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Shakov9202 |
| Upload Date | January 24 2026 03:29 PM |
| Views | 10 |
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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
536
99.7 IPS |
|
|
Image Classification (HP)
|
100% |
527
98.1 IPS |
|
|
Image Classification (Q)
|
100% |
1510
280.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1717
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2408
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2358
2.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
3471
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
469
37.2 IPS |
|
|
Object Detection (HP)
|
100% |
444
35.2 IPS |
|
|
Object Detection (Q)
|
83% |
1217
98.3 IPS |
|
|
Face Detection (SP)
|
100% |
1408
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1371
16.3 IPS |
|
|
Face Detection (Q)
|
95% |
3212
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1799
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1787
13.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3090
28.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3883
5.04 IPS |
|
|
Style Transfer (HP)
|
89% |
3551
4.61 IPS |
|
|
Style Transfer (Q)
|
98% |
7336
9.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
995
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1021
37.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1851
68.6 IPS |
|
|
Text Classification (SP)
|
100% |
502
670.6 IPS |
|
|
Text Classification (HP)
|
100% |
496
661.8 IPS |
|
|
Text Classification (Q)
|
88% |
825
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
432
15.3 IPS |
