Google Pixel 7
Geekbench AI Score
540
Single Precision Score
633
Half Precision Score
615
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 30 2024 10:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 7.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
285
53.0 IPS |
|
|
Image Classification (HP)
|
100% |
253
47.0 IPS |
|
|
Image Classification (Q)
|
99% |
232
43.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
663
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
896
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
809
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
458
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
622
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
619
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
244
19.3 IPS |
|
|
Object Detection (HP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (Q)
|
83% |
326
26.4 IPS |
|
|
Face Detection (SP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1330
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
1443
17.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
770
5.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
912
7.02 IPS |
|
|
Depth Estimation (Q)
|
62% |
747
7.07 IPS |
|
|
Style Transfer (SP)
|
100% |
2035
2.62 IPS |
|
|
Style Transfer (HP)
|
100% |
2614
3.36 IPS |
|
|
Style Transfer (Q)
|
98% |
2580
3.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
386
14.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
475
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
474
17.6 IPS |
|
|
Text Classification (SP)
|
100% |
313
418.1 IPS |
|
|
Text Classification (HP)
|
100% |
316
422.1 IPS |
|
|
Text Classification (Q)
|
91% |
528
709.1 IPS |
|
|
Machine Translation (SP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.71 IPS |
|
|
Machine Translation (Q)
|
57% |
297
7.26 IPS |
