NVIDIA Quadro T1000 Max Q vs NVIDIA RTX A4500 Embedded
We compared two Professional market GPUs: 4GB VRAM Quadro T1000 Max Q and 16GB VRAM RTX A4500 Embedded to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Quadro T1000 Max Q 's Advantages
Boost Clock has increased by 11% (1350MHz vs 1215MHz)
Lower TDP (50W vs 80W)
NVIDIA RTX A4500 Embedded 's Advantages
Released 2 years and 10 months late
More VRAM (16GB vs 4GB)
Larger VRAM bandwidth (384.0GB/s vs 80.00GB/s)
4992 additional rendering cores
Score
Benchmark
FP32 (float)
Quadro T1000 Max Q
2.419 TFLOPS
RTX A4500 Embedded
+491%
14.31 TFLOPS
3DMark Time Spy
Quadro T1000 Max Q
3019
RTX A4500 Embedded
+227%
9884
Blender
Quadro T1000 Max Q
422
RTX A4500 Embedded
+828%
3920
OctaneBench
Quadro T1000 Max Q
55
RTX A4500 Embedded
+776%
482
Graphics Card
May 2019
Release Date
Mar 2022
Quadro Mobile
Generation
Quadro Ampere-M
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x16
Clock Speeds
765 MHz
Base Clock
510 MHz
1350 MHz
Boost Clock
1215 MHz
1250 MHz
Memory Clock
1500 MHz
Memory
4GB
Memory Size
16GB
GDDR5
Memory Type
GDDR6
128bit
Memory Bus
256bit
80.00GB/s
Bandwidth
384.0GB/s
Render Config
-
-
-
14
SM Count
46
896
Shading Units
5888
56
TMUs
184
32
ROPs
96
-
Tensor Cores
184
-
RT Cores
46
64 KB (per SM)
L1 Cache
128 KB (per SM)
1024 KB
L2 Cache
4 MB
-
-
-
Theoretical Performance
43.20 GPixel/s
Pixel Rate
116.6 GPixel/s
75.60 GTexel/s
Texture Rate
223.6 GTexel/s
4.838 TFLOPS
FP16 (half)
14.31 TFLOPS
2.419 TFLOPS
FP32 (float)
14.31 TFLOPS
75.60 GFLOPS
FP64 (double)
223.6 GFLOPS
Board Design
50W
TDP
80W
-
-
-
No outputs
Outputs
Portable Device Dependent
None
Power Connectors
None
Graphics Processor
TU117
GPU Name
GA104
-
-
-
Turing
Architecture
Ampere
TSMC
Foundry
Samsung
12 nm
Process Size
8 nm
4.7 billion
Transistors
17.4 billion
200 mm²
Die Size
392 mm²
Graphics Features
12 (12_1)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
7.5
CUDA
8.6
6.6
Shader Model
6.7
