Google Pixel 7
Geekbench AI Score
908
Single Precision Score
863
Half Precision Score
1535
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2025 02:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
530
98.5 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.5 IPS |
|
|
Image Classification (Q)
|
100% |
1404
261.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
617
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
593
9.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
1568
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2085
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1667
1.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
2317
2.75 IPS |
|
|
Object Detection (SP)
|
100% |
374
29.6 IPS |
|
|
Object Detection (HP)
|
100% |
340
27.0 IPS |
|
|
Object Detection (Q)
|
83% |
998
80.6 IPS |
|
|
Face Detection (SP)
|
100% |
1180
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1182
14.0 IPS |
|
|
Face Detection (Q)
|
95% |
2341
27.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1610
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1516
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2421
22.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3204
4.16 IPS |
|
|
Style Transfer (HP)
|
89% |
3002
3.90 IPS |
|
|
Style Transfer (Q)
|
98% |
6050
7.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
862
31.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1597
59.2 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.5 IPS |
|
|
Text Classification (HP)
|
100% |
432
576.9 IPS |
|
|
Text Classification (Q)
|
88% |
675
909.8 IPS |
|
|
Machine Translation (SP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
387
13.7 IPS |
