AMD FirePro S7150 vs AMD FirePro M5100

Comparative analysis of AMD FirePro S7150 and AMD FirePro M5100 videocards for all known characteristics in the following categories: Essentials, Technical info, Video outputs and ports, Compatibility, dimensions and requirements, API support, Memory, Technologies. Benchmark videocards performance analysis: PassMark - G3D Mark, PassMark - G2D Mark, Geekbench - OpenCL, CompuBench 1.5 Desktop - Face Detection (mPixels/s), CompuBench 1.5 Desktop - Ocean Surface Simulation (Frames/s), CompuBench 1.5 Desktop - T-Rex (Frames/s), CompuBench 1.5 Desktop - Video Composition (Frames/s), GFXBench 4.0 - Car Chase Offscreen (Frames), GFXBench 4.0 - Manhattan (Frames), GFXBench 4.0 - T-Rex (Frames), GFXBench 4.0 - Car Chase Offscreen (Fps), GFXBench 4.0 - Manhattan (Fps), GFXBench 4.0 - T-Rex (Fps), CompuBench 1.5 Desktop - Bitcoin Mining (mHash/s).

 

Differences

Reasons to consider the AMD FirePro S7150

  • Videocard is newer: launch date 2 year(s) 3 month(s) later
  • Around 45% higher core clock speed: 1050 MHz vs 725 MHz
  • 3.8x more texture fill rate: 117.6 GTexel / s vs 31 GTexel / s
  • 2.8x more pipelines: 1792 vs 640
  • 3.8x better floating-point performance: 3,763 gflops vs 992.0 gflops
  • 4x more maximum memory size: 8 GB vs 2 GB
  • Around 11% higher memory clock speed: 5000 MHz vs 4500 MHz
  • Around 53% better performance in PassMark - G3D Mark: 3208 vs 2103
  • 4.5x better performance in Geekbench - OpenCL: 29623 vs 6597
  • Around 24% better performance in CompuBench 1.5 Desktop - Face Detection (mPixels/s): 27.544 vs 22.202
  • Around 6% better performance in CompuBench 1.5 Desktop - Ocean Surface Simulation (Frames/s): 570.969 vs 537.558
  • 2.1x better performance in GFXBench 4.0 - Car Chase Offscreen (Frames): 6147 vs 2926
  • Around 17% better performance in GFXBench 4.0 - Manhattan (Frames): 4359 vs 3713
  • 2.1x better performance in GFXBench 4.0 - Car Chase Offscreen (Fps): 6147 vs 2926
  • Around 17% better performance in GFXBench 4.0 - Manhattan (Fps): 4359 vs 3713
Specifications (specs)
Launch date 1 February 2016 vs 16 October 2013
Core clock speed 1050 MHz vs 725 MHz
Texture fill rate 117.6 GTexel / s vs 31 GTexel / s
Pipelines 1792 vs 640
Floating-point performance 3,763 gflops vs 992.0 gflops
Maximum memory size 8 GB vs 2 GB
Memory clock speed 5000 MHz vs 4500 MHz
Benchmarks
PassMark - G3D Mark 3208 vs 2103
Geekbench - OpenCL 29623 vs 6597
CompuBench 1.5 Desktop - Face Detection (mPixels/s) 27.544 vs 22.202
CompuBench 1.5 Desktop - Ocean Surface Simulation (Frames/s) 570.969 vs 537.558
GFXBench 4.0 - Car Chase Offscreen (Frames) 6147 vs 2926
GFXBench 4.0 - Manhattan (Frames) 4359 vs 3713
GFXBench 4.0 - Car Chase Offscreen (Fps) 6147 vs 2926
GFXBench 4.0 - Manhattan (Fps) 4359 vs 3713

Reasons to consider the AMD FirePro M5100

  • Around 82% better performance in PassMark - G2D Mark: 800 vs 440
  • 3.3x better performance in CompuBench 1.5 Desktop - T-Rex (Frames/s): 2.245 vs 0.687
  • Around 72% better performance in CompuBench 1.5 Desktop - Video Composition (Frames/s): 40.642 vs 23.637
  • 5.8x better performance in GFXBench 4.0 - T-Rex (Frames): 3358 vs 583
  • 5.8x better performance in GFXBench 4.0 - T-Rex (Fps): 3358 vs 583
Benchmarks
PassMark - G2D Mark 800 vs 440
CompuBench 1.5 Desktop - T-Rex (Frames/s) 2.245 vs 0.687
CompuBench 1.5 Desktop - Video Composition (Frames/s) 40.642 vs 23.637
GFXBench 4.0 - T-Rex (Frames) 3358 vs 583
GFXBench 4.0 - T-Rex (Fps) 3358 vs 583

Compare benchmarks

GPU 1: AMD FirePro S7150
GPU 2: AMD FirePro M5100

PassMark - G3D Mark
GPU 1
GPU 2
3208
2103
PassMark - G2D Mark
GPU 1
GPU 2
440
800
Geekbench - OpenCL
GPU 1
GPU 2
29623
6597
CompuBench 1.5 Desktop - Face Detection (mPixels/s)
GPU 1
GPU 2
27.544
22.202
CompuBench 1.5 Desktop - Ocean Surface Simulation (Frames/s)
GPU 1
GPU 2
570.969
537.558
CompuBench 1.5 Desktop - T-Rex (Frames/s)
GPU 1
GPU 2
0.687
2.245
CompuBench 1.5 Desktop - Video Composition (Frames/s)
GPU 1
GPU 2
23.637
40.642
GFXBench 4.0 - Car Chase Offscreen (Frames)
GPU 1
GPU 2
6147
2926
GFXBench 4.0 - Manhattan (Frames)
GPU 1
GPU 2
4359
3713
GFXBench 4.0 - T-Rex (Frames)
GPU 1
GPU 2
583
3358
GFXBench 4.0 - Car Chase Offscreen (Fps)
GPU 1
GPU 2
6147
2926
GFXBench 4.0 - Manhattan (Fps)
GPU 1
GPU 2
4359
3713
GFXBench 4.0 - T-Rex (Fps)
GPU 1
GPU 2
583
3358
Name AMD FirePro S7150 AMD FirePro M5100
PassMark - G3D Mark 3208 2103
PassMark - G2D Mark 440 800
Geekbench - OpenCL 29623 6597
CompuBench 1.5 Desktop - Face Detection (mPixels/s) 27.544 22.202
CompuBench 1.5 Desktop - Ocean Surface Simulation (Frames/s) 570.969 537.558
CompuBench 1.5 Desktop - T-Rex (Frames/s) 0.687 2.245
CompuBench 1.5 Desktop - Video Composition (Frames/s) 23.637 40.642
GFXBench 4.0 - Car Chase Offscreen (Frames) 6147 2926
GFXBench 4.0 - Manhattan (Frames) 4359 3713
GFXBench 4.0 - T-Rex (Frames) 583 3358
GFXBench 4.0 - Car Chase Offscreen (Fps) 6147 2926
GFXBench 4.0 - Manhattan (Fps) 4359 3713
GFXBench 4.0 - T-Rex (Fps) 583 3358
CompuBench 1.5 Desktop - Bitcoin Mining (mHash/s) 108.052

Compare specifications (specs)

AMD FirePro S7150 AMD FirePro M5100

Essentials

Architecture GCN 3.0 GCN 1.0
Code name Tonga Venus
Launch date 1 February 2016 16 October 2013
Launch price (MSRP) $2,399
Place in performance rating 645 648
Type Workstation Mobile workstation

Technical info

Core clock speed 1050 MHz 725 MHz
Floating-point performance 3,763 gflops 992.0 gflops
Manufacturing process technology 28 nm 28 nm
Pipelines 1792 640
Texture fill rate 117.6 GTexel / s 31 GTexel / s
Thermal Design Power (TDP) 150 Watt
Transistor count 5,000 million 1,500 million
Boost clock speed 775 MHz

Video outputs and ports

Display Connectors No outputs No outputs

Compatibility, dimensions and requirements

Interface PCIe 3.0 x16 MXM-A (3.0)
Length 241 mm
Supplementary power connectors 1x 6-pin
Laptop size medium sized

API support

DirectX 12.0 (12_0) 12.0 (11_1)
OpenGL 4.5 4.5

Memory

Maximum RAM amount 8 GB 2 GB
Memory bandwidth 160.0 GB / s 72 GB / s
Memory bus width 256 Bit 128 Bit
Memory clock speed 5000 MHz 4500 MHz
Memory type GDDR5 GDDR5
Shared memory 0

Technologies

AppAcceleration