Home GPU Comparison NVIDIA T1000 8 GB vs NVIDIA GeForce GT 1030 DDR4

NVIDIA T1000 8 GB vs NVIDIA GeForce GT 1030 DDR4

We compared two Desktop platform GPUs: 8GB VRAM T1000 8 GB and 2GB VRAM GeForce GT 1030 DDR4 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA T1000 8 GB 's Advantages
Released 3 years and 2 months late
Boost Clock has increased by 1% (1395MHz vs 1379MHz)
More VRAM (8GB vs 2GB)
Larger VRAM bandwidth (160.0GB/s vs 16.80GB/s)
512 additional rendering cores
NVIDIA GeForce GT 1030 DDR4 's Advantages
Lower TDP (20W vs 50W)

Score

Benchmark

FP32 (float)
T1000 8 GB +136%
2.5 TFLOPS
GeForce GT 1030 DDR4
1.059 TFLOPS
Blender
T1000 8 GB +263%
414
GeForce GT 1030 DDR4
114
OctaneBench
T1000 8 GB +265%
73
GeForce GT 1030 DDR4
20
VS

Graphics Card

May 2021
Release Date
Mar 2018
Quadro
Generation
GeForce 10
Desktop
Type
Desktop
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x4

Clock Speeds

1065 MHz
Base Clock
1152 MHz
1395 MHz
Boost Clock
1379 MHz
1250 MHz
Memory Clock
1050 MHz

Memory

8GB
Memory Size
2GB
GDDR6
Memory Type
DDR4
128bit
Memory Bus
64bit
160.0GB/s
Bandwidth
16.80GB/s

Render Config

14
SM Count
3
-
Compute Units
-
896
Shading Units
384
56
TMUs
24
32
ROPs
16
-
Tensor Cores
-
-
RT Cores
-
64 KB (per SM)
L1 Cache
48 KB (per SM)
1024 KB
L2 Cache
512 KB

Theoretical Performance

44.64 GPixel/s
Pixel Rate
22.06 GPixel/s
78.12 GTexel/s
Texture Rate
33.10 GTexel/s
5.000 TFLOPS
FP16 (half)
16.55 GFLOPS
2.500 TFLOPS
FP32 (float)
1059 GFLOPS
78.12 GFLOPS
FP64 (double)
33.10 GFLOPS

Graphics Processor

TU117
GPU Name
GP108
-
GPU Variant
GP108-310-A1
Turing
Architecture
Pascal
TSMC
Foundry
Samsung
12 nm
Process Size
14 nm
4.7 billion
Transistors
1.8 billion
200 mm²
Die Size
74 mm²

Board Design

50W
TDP
20W
250 W
Suggested PSU
200 W
4x mini-DisplayPort 1.4a
Outputs
1x DVI 1x HDMI 2.0
None
Power Connectors
None

Graphics Features

12 (12_1)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
7.5
CUDA
6.1
6.6
Shader Model
6.4

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