Upload keras_xla_benchmarks.csv

keras_xla_benchmarks.csv

@@ -1,4 +1,16 @@
 model_family,model_variant,resolution,xla,accelerator,flop (giga),params (million),throughput (samples/sec)
+MobileNet_V3,mobilenet_v3_large,224,True,a100,0.22,5.51,1341.5
+MobileNet_V3,mobilenet_v3_large,224,False,a100,0.22,5.51,35.41
+MobileNet_V3,mobilenet_v3_small,224,True,a100,0.06,2.55,1641.94
+MobileNet_V3,mobilenet_v3_small,224,False,a100,0.06,2.55,41.27
+MobileNet_V3,mobilenet_v3_large,224,True,v100,0.22,5.51,1461.55
+MobileNet_V3,mobilenet_v3_large,224,True,t4,0.22,5.51,1534.65
+MobileNet_V3,mobilenet_v3_large,224,False,v100,0.22,5.51,38.95
+MobileNet_V3,mobilenet_v3_large,224,False,t4,0.22,5.51,41.49
+MobileNet_V3,mobilenet_v3_small,224,True,v100,0.06,2.55,1643.42
+MobileNet_V3,mobilenet_v3_small,224,True,t4,0.06,2.55,1358.68
+MobileNet_V3,mobilenet_v3_small,224,False,v100,0.06,2.55,45.9
+MobileNet_V3,mobilenet_v3_small,224,False,t4,0.06,2.55,49.18
 MLP-Mixer,mixer_l16,224,True,a100,44.6,208.2,516.6
 MLP-Mixer,mixer_l16,224,False,a100,44.6,208.2,540.72
 MLP-Mixer,mixer_b32,224,True,a100,3.24,60.29,1539.56