Google Pixel 7
Geekbench AI Score
845
Single Precision Score
830
Half Precision Score
1434
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 07:35 PM |
| Views | 4 |
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% |
522
97.2 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.4 IPS |
|
|
Image Classification (Q)
|
100% |
1475
274.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
597
9.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
1479
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1924
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1623
1.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
2060
2.44 IPS |
|
|
Object Detection (SP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (HP)
|
100% |
315
25.0 IPS |
|
|
Object Detection (Q)
|
83% |
881
71.2 IPS |
|
|
Face Detection (SP)
|
100% |
1100
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1157
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
2295
27.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1515
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1503
11.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2134
19.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2963
3.85 IPS |
|
|
Style Transfer (HP)
|
89% |
2926
3.80 IPS |
|
|
Style Transfer (Q)
|
98% |
6053
7.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
832
30.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
839
31.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1461
54.1 IPS |
|
|
Text Classification (SP)
|
100% |
399
533.1 IPS |
|
|
Text Classification (HP)
|
100% |
398
531.2 IPS |
|
|
Text Classification (Q)
|
88% |
663
893.6 IPS |
|
|
Machine Translation (SP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
601
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
324
11.5 IPS |
