人工智能 (AI) 和机器学习 (ML) 的性能

在人工智能 (AI) 和机器学习 (ML) 支持下的处理器可以处理许多计算，尤其是音频、图像和视频处理，比传统处理器快得多。 通过软件收集的数据越多，机器学习算法的性能就会提高。 ML 任务的处理速度比传统处理器快 10,000 倍。

基准测试结果

	Apple A17 Pro 6C 6T @ 3.78 GHz	35.0
	Qualcomm Snapdragon 888+ 8C 8T @ 3.00 GHz	32.0
	Apple M2 Ultra (76-GPU) 24C 24T @ 3.50 GHz	31.6
	Apple M2 Ultra (60-GPU) 24C 24T @ 3.50 GHz	31.6
	Qualcomm Snapdragon 888 8C 8T @ 2.84 GHz	26.0
	Apple M1 Ultra (48-GPU) 20C 20T @ 3.20 GHz	22.0
	Apple M1 Ultra (64-GPU) 20C 20T @ 3.20 GHz	22.0
	Apple A16 Bionic 6C 6T @ 3.46 GHz	17.0
	Apple M2 Max (30-GPU) 12C 12T @ 3.50 GHz	15.8
	Apple M2 Pro (10-CPU 16-GPU) 10C 10T @ 3.50 GHz	15.8
	Apple M2 Max (38-GPU) 12C 12T @ 3.50 GHz	15.8
	Apple M2 Pro (12-CPU 19-GPU) 12C 12T @ 3.50 GHz	15.8
	Apple M2 (8-GPU) 8C 8T @ 3.50 GHz	15.8
	Apple A15 Bionic (4-GPU) 6C 6T @ 3.23 GHz	15.8
	Apple A15 Bionic (5-GPU) 6C 6T @ 3.23 GHz	15.8
	Apple M2 8C 8T @ 3.50 GHz	15.8
	Samsung Exynos 990 8C 8T @ 2.73 GHz	15.0
	Qualcomm Snapdragon 865 Plus 8C 8T @ 3.10 GHz	15.0
	Qualcomm Snapdragon 865 8C 8T @ 2.84 GHz	15.0
	Apple M1 (7-GPU) 8C 8T @ 3.20 GHz	11.0
	Apple M1 Pro (10-CPU 14-GPU) 10C 10T @ 3.20 GHz	11.0
	Apple M1 Max (24-GPU) 10C 10T @ 3.20 GHz	11.0
	Apple M1 Max (32-GPU) 10C 10T @ 3.20 GHz	11.0
	Apple M1 Pro (8-CPU) 8C 8T @ 3.20 GHz	11.0
	Apple M1 Pro (10-CPU 16-GPU) 10C 10T @ 3.20 GHz	11.0
	Apple M1 8C 8T @ 3.20 GHz	11.0
	Apple A14 Bionic 6C 6T @ 3.00 GHz	11.0
	AMD Ryzen 9 7940H 8C 16T @ 4.00 GHz	10.0
	AMD Ryzen 7 7840H 8C 16T @ 3.80 GHz	10.0
	AMD Ryzen 5 7640H 6C 12T @ 4.30 GHz	10.0
	AMD Ryzen 7 PRO 7840U 8C 16T @ 3.30 GHz	10.0
	AMD Ryzen 5 PRO 7640HS 6C 12T @ 4.30 GHz	10.0
	AMD Ryzen 7 PRO 7840HS 8C 16T @ 3.80 GHz	10.0
	AMD Ryzen 9 PRO 7940HS 8C 16T @ 4.00 GHz	10.0
	AMD Ryzen 7 7840U 8C 16T @ 3.30 GHz	10.0
	AMD Ryzen 5 7640HS 6C 12T @ 4.30 GHz	10.0
	AMD Ryzen 7 7840HS 8C 16T @ 3.80 GHz	10.0
	AMD Ryzen 9 7940HS 8C 16T @ 4.00 GHz	10.0
	Apple A13 Bionic 6C 6T @ 2.65 GHz	6.0
	Apple A12 Bionic 6C 6T @ 2.49 GHz	5.0

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