Performance Rating
NVIDIA H200 SXM 141 GB outperforms Xiaomi GeForce MX150 by 7,644.83% in the overall GPU ARK performance rating
Xiaomi GeForce MX150
Expert Comparison
NVIDIA H200 SXM 141 GB значительно превосходит Xiaomi GeForce MX150 по всем параметрам. У первой видеокарты гораздо больше ядер, памяти и пропускной способности, а также более высокая производительность в FP32. H200 SXM 141 GB предназначена для мощных серверов и вычислений, в то время как MX150 подходит только для легких задач, таких как базовые игры и офисная работа.
Contents:
Memory ML Performance Compute Power Architecture & Compatibility ML Software Support Clocks & Performance Power Consumption Rendering Benchmarks AdditionalMemory
Memory Size
+6,950%
141
ГБ
Memory Type
Memory Bandwidth
4.89 TB/s
Memory Bus Width
ML Performance
FP16 (Half Precision)
+1,662,012%
267.6
TFLOPS
BF16 (Brain Float)
TF32 (TensorFloat)
Compute Power
FP32 (Single Precision)
+6,397%
66.91
TFLOPS
FP64 (Double Precision)
+103,782%
33.45
TFLOPS
CUDA Cores
+4,300%
16,896
RT Cores
Architecture & Compatibility
GPU Architecture
SM (Streaming Multiprocessor)
+4,300%
132
PCIe Version
ML Software Support
CUDA Version
9.0
CUDA Toolkit (first supported)
CUDA Toolkit (deprecated)
CUDA Toolkit (support removed)
CUDA Toolkit status
Clocks & Performance
Base Clock
+20%
1,500
Boost Clock
+48%
1,980
Memory Clock
+27%
1,593
Power Consumption
Recommended PSU
Power Connector
TDP/TGP
-99%
10 W
Rendering
Texture Units (TMU)
+2,100%
528
ROP
L2 Cache
50 MB
Benchmarks
MLPerf, llama2-70b-99.9 (UNSET)
MLPerf, llama2-70b-99.9 (fp16)
MLPerf, llama2-70b-99.9 (fp8)
MLPerf, llama3.1-405b (fp16)
MLPerf, llama3.1-405b (fp8)
MLPerf, llama3.1-8b (fp8)
MLPerf, deepseek-r1 (fp8)
MLPerf, mixtral-8x7b (fp8)
Additional
Slots
SXM Module
Release Date
Display Outputs
Rent on Intelion Cloud
Available for rent on Intelion Cloud
