Google Pixel 7
Geekbench AI Score
901
Single Precision Score
885
Half Precision Score
1587
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 03:20 AM |
| Views | 2 |
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% |
482
89.7 IPS |
|
|
Image Classification (HP)
|
100% |
521
96.8 IPS |
|
|
Image Classification (Q)
|
100% |
1493
277.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
597
9.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
1622
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2070
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1683
1.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
2306
2.73 IPS |
|
|
Object Detection (SP)
|
100% |
366
29.0 IPS |
|
|
Object Detection (HP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (Q)
|
83% |
1006
81.2 IPS |
|
|
Face Detection (SP)
|
100% |
1164
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1247
14.8 IPS |
|
|
Face Detection (Q)
|
95% |
2693
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1578
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1622
12.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2604
23.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3184
4.13 IPS |
|
|
Style Transfer (HP)
|
89% |
2973
3.86 IPS |
|
|
Style Transfer (Q)
|
98% |
6068
7.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
904
33.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
949
35.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1601
59.3 IPS |
|
|
Text Classification (SP)
|
100% |
439
585.4 IPS |
|
|
Text Classification (HP)
|
100% |
420
561.0 IPS |
|
|
Text Classification (Q)
|
88% |
696
938.3 IPS |
|
|
Machine Translation (SP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (Q)
|
50% |
382
13.6 IPS |
