Google Pixel 7a
Geekbench AI Score
892
Single Precision Score
858
Half Precision Score
1588
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Xantia |
| Upload Date | August 18 2024 02:34 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 7a |
| Model ID | Google Pixel 7a |
| Motherboard | lynx |
| 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% |
513
95.5 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.6 IPS |
|
|
Image Classification (Q)
|
100% |
1472
273.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
598
9.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
581
9.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
1619
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2048
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1658
1.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
2563
3.04 IPS |
|
|
Object Detection (SP)
|
100% |
400
31.7 IPS |
|
|
Object Detection (HP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (Q)
|
87% |
984
79.0 IPS |
|
|
Face Detection (SP)
|
100% |
1196
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
1216
14.4 IPS |
|
|
Face Detection (Q)
|
95% |
2554
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1579
12.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
1563
12.0 IPS |
|
|
Depth Estimation (Q)
|
75% |
2980
24.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3056
3.97 IPS |
|
|
Style Transfer (HP)
|
89% |
3085
4.00 IPS |
|
|
Style Transfer (Q)
|
98% |
5958
7.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
840
31.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
892
32.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1572
58.3 IPS |
|
|
Text Classification (SP)
|
100% |
414
552.4 IPS |
|
|
Text Classification (HP)
|
100% |
411
548.1 IPS |
|
|
Text Classification (Q)
|
88% |
683
921.1 IPS |
|
|
Machine Translation (SP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (Q)
|
50% |
349
12.4 IPS |
