美格智能 MeiG

Posenet-mobilenet

图像分类ONNXQNNTFLite

Posenet-mobilenet — 美格最新实测数据。

BEST · SNM980
3,096inf/s
QNN/HTP ·
任务类型
图像分类
平台覆盖
4 个

跨平台性能对比

按实测指标排序,深色条为该模型最佳平台。

inf/sSNM9803,096SNM9802,890SNM9802,494SNM9701,692SNM9701,645SNM9831,290SNM9831,233SNM9701,189SNM9801,114SNM9831,009SNM970603.136SNM983347.222SRM6690170.794SRM6690156.006

芯片兼容矩阵

模型 × 芯片平台 × 精度 × 推理后端 组合的实测性能。

芯片平台精度推理后端性能报告
SNM980
SM8750P (Snapdragon 8 Elite)
QNN/HTP3,096 inf/s查看 →
SNM980
SM8750P (Snapdragon 8 Elite)
ONNX/CPU2,890 inf/s查看 →
SNM980
SM8750P (Snapdragon 8 Elite)
TFLite/NPU2,494 inf/s查看 →
SNM970
QCS8550 / QCM8550 (Snapdragon 8 Gen 2)
ONNX/CPU1,692 inf/s查看 →
SNM970
QCS8550 / QCM8550 (Snapdragon 8 Gen 2)
QNN/HTP1,645 inf/s查看 →
SNM983
QCS9075 / QCS9100 (SA8775P)
QNN/HTP1,290 inf/s查看 →
SNM983
QCS9075 / QCS9100 (SA8775P)
ONNX/CPU1,233 inf/s查看 →
SNM970
QCS8550 / QCM8550 (Snapdragon 8 Gen 2)
TFLite/NPU1,189 inf/s查看 →
SNM980
SM8750P (Snapdragon 8 Elite)
ONNX/NPU1,114 inf/s查看 →
SNM983
QCS9075 / QCS9100 (SA8775P)
TFLite/NPU1,009 inf/s查看 →
SNM970
QCS8550 / QCM8550 (Snapdragon 8 Gen 2)
ONNX/NPU603.136 inf/s查看 →
SNM983
QCS9075 / QCS9100 (SA8775P)
ONNX/NPU347.222 inf/s查看 →
SRM6690
QCM6690 (Snapdragon 6690)
QNN/HTP170.794 inf/s查看 →
SRM6690
QCM6690 (Snapdragon 6690)
TFLite/NPU156.006 inf/s查看 →

下载资源

SNM970
模型库/姿态识别/高通/Mobile/8550/posenet_8550_android.zip
下载
SNM970
模型库/姿态识别/高通/Mobile/8550/posenet_8550_linux.zip
下载
SNM983
模型库/姿态识别/高通/Mobile/9075/posenet_9075_android.zip
下载
SNM983
模型库/姿态识别/高通/Mobile/9075/posenet_9075_linux.zip
下载

相关示例应用

暂无关联示例。