Performance Rating
AMD Radeon Instinct MI300X outperforms GALAX GTX 1630 General OC by 5,818.24% in the overall GPU ARK performance rating
GALAX GTX 1630 General OC
The AMD Radeon Instinct MI300X dramatically outperforms the GALAX GTX 1630 General OC, leading by 5818% in the overall GPI performance index. For machine learning, the AMD Radeon Instinct MI300X has the edge in FP16 performance (+17487%) and VRAM (192 vs 4 GB). For gaming, the AMD Radeon Instinct MI300X delivers 4296% more FP32 throughput. In performance per watt, the AMD Radeon Instinct MI300X is 340% more efficient at 750W TDP vs 75W for the GALAX GTX 1630 General OC.
Contents:
Memory ML Performance Compute Power Architecture & Compatibility ML Software Support Clocks & Performance Power Consumption Rendering Benchmarks AdditionalMemory
Memory Size
+4,700%
192
ГБ
Memory Type
Memory Bandwidth
10.3 TB/s
Memory Bus Width
ML Performance
FP16 (Half Precision)
+17,487%
653.7
TFLOPS
BF16 (Brain Float)
TF32 (TensorFloat)
Compute Power
FP32 (Single Precision)
+4,296%
81.72
TFLOPS
FP64 (Double Precision)
+140,554%
81.72
TFLOPS
CUDA Cores
+3,700%
19,456
RT Cores
Architecture & Compatibility
GPU Architecture
SM (Streaming Multiprocessor)
8
PCIe Version
ML Software Support
CUDA Version
CUDA Toolkit (first supported)
CUDA Toolkit status
Clocks & Performance
Base Clock
+74%
1,740
Boost Clock
+16%
2,100
Memory Clock
+68%
2,525
Power Consumption
Recommended PSU
-78%
250 W
Power Connector
TDP/TGP
-90%
75 W
Rendering
Texture Units (TMU)
+3,700%
1,216
ROP
L2 Cache
16 MB
Benchmarks
MLPerf, llama2-70b-99.9 (UNSET)
MLPerf, llama2-70b-99.9 (fp16)
MLPerf, llama2-70b-99.9 (fp8)
MLPerf, llama3.1-405b (UNSET)
MLPerf, llama3.1-405b (fp16)
llama.cpp, llama-2-7b-Q4_0
MLPerf, mixtral-8x7b (fp8)
Additional
Slots
Release Date
Display Outputs
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Флагманская GPU на архитектуре Hopper с 80 ГБ памяти HBM3 в форм-факторе SXM. Создана для обучения и инференса больших языковых моделей, HPC задач. Поддерживает FP64, FP32, TF32, FP16, BF16, FP8 и INT8 вычисления с Tensor Cores 4-го поколения.
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