Google Pixel 7
Geekbench AI Score
1029
Single Precision Score
1024
Half Precision Score
1912
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 02:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
529
98.4 IPS |
|
|
Image Classification (HP)
|
100% |
530
98.6 IPS |
|
|
Image Classification (Q)
|
100% |
1518
282.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1724
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2360
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2355
2.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
3662
4.34 IPS |
|
|
Object Detection (SP)
|
100% |
512
40.6 IPS |
|
|
Object Detection (HP)
|
100% |
490
38.9 IPS |
|
|
Object Detection (Q)
|
83% |
1390
112.3 IPS |
|
|
Face Detection (SP)
|
100% |
1430
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
1364
16.2 IPS |
|
|
Face Detection (Q)
|
95% |
3087
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1746
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1750
13.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3071
28.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3609
4.68 IPS |
|
|
Style Transfer (HP)
|
89% |
3619
4.70 IPS |
|
|
Style Transfer (Q)
|
98% |
7313
9.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
998
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
997
36.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1767
65.5 IPS |
|
|
Text Classification (SP)
|
100% |
477
636.9 IPS |
|
|
Text Classification (HP)
|
100% |
526
702.1 IPS |
|
|
Text Classification (Q)
|
88% |
907
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
758
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
50% |
443
15.7 IPS |
