Google Pixel 7
Geekbench AI Score
891
Single Precision Score
855
Half Precision Score
1513
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 07:06 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% |
528
98.2 IPS |
|
|
Image Classification (HP)
|
100% |
517
96.2 IPS |
|
|
Image Classification (Q)
|
100% |
1469
273.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
572
9.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
1547
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1979
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1671
1.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
2311
2.74 IPS |
|
|
Object Detection (SP)
|
100% |
365
29.0 IPS |
|
|
Object Detection (HP)
|
100% |
330
26.2 IPS |
|
|
Object Detection (Q)
|
83% |
958
77.4 IPS |
|
|
Face Detection (SP)
|
100% |
1173
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1207
14.3 IPS |
|
|
Face Detection (Q)
|
95% |
2388
28.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1579
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1579
12.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2604
23.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3146
4.08 IPS |
|
|
Style Transfer (HP)
|
89% |
2992
3.88 IPS |
|
|
Style Transfer (Q)
|
98% |
6050
7.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
892
32.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
892
32.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1441
53.4 IPS |
|
|
Text Classification (SP)
|
100% |
422
563.4 IPS |
|
|
Text Classification (HP)
|
100% |
428
570.9 IPS |
|
|
Text Classification (Q)
|
88% |
656
884.4 IPS |
|
|
Machine Translation (SP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
589
10.2 IPS |
|
|
Machine Translation (Q)
|
50% |
353
12.5 IPS |
