Google Pixel 7
Geekbench AI Score
866
Single Precision Score
849
Half Precision Score
1504
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 06:16 PM |
| Views | 8 |
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% |
485
90.2 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.6 IPS |
|
|
Image Classification (Q)
|
100% |
1460
271.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
571
9.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
585
9.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
1472
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1952
2.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1702
1.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
2330
2.76 IPS |
|
|
Object Detection (SP)
|
100% |
331
26.3 IPS |
|
|
Object Detection (HP)
|
100% |
331
26.2 IPS |
|
|
Object Detection (Q)
|
83% |
970
78.4 IPS |
|
|
Face Detection (SP)
|
100% |
1181
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1173
13.9 IPS |
|
|
Face Detection (Q)
|
95% |
2199
26.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1545
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1526
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2405
22.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3013
3.91 IPS |
|
|
Style Transfer (HP)
|
89% |
2956
3.84 IPS |
|
|
Style Transfer (Q)
|
98% |
6144
7.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
860
31.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
874
32.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1461
54.1 IPS |
|
|
Text Classification (SP)
|
100% |
435
580.5 IPS |
|
|
Text Classification (HP)
|
100% |
435
580.8 IPS |
|
|
Text Classification (Q)
|
88% |
684
922.1 IPS |
|
|
Machine Translation (SP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
583
10.0 IPS |
|
|
Machine Translation (Q)
|
50% |
376
13.3 IPS |
