FireStream_9170
AMD FireStream 9170

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How well can the FireStream 9170 run games
AMD FireStream 9170
10 Aug 2021 - Graphics card reviewed

Capable of running games with up to a DirectX 10 requirement.

How many years will the FireStream 9170 graphics card play newly released games and how long until you should consider upgrading the FireStream 9170 in your PC? Its upgrade time for the FireStream 9170, assuming you are a modern day gamer.

Whats a good PC graphics upgrade for the FireStream 9170? A good choice when looking to upgrade the FireStream 9170 would be the RX 5000 Series Radeon RX 5500 XT 8GB which meets 716 of the 1000 top game’s recommended system requirements and has 865% better performance. Alternatively a good upgrade choice for this graphics card today would be the R-500 Series Radeon RX Vega 8. For comparison of the 1000 most demanding games around today this suggested upgrade is 228% better and can meet 0 of their recommended requirements.
FPS System Benchmark
0 FPS
High
The FireStream 9170 was released on 08 Nov 2007
AMD PC game performance check FireStream 9170
GPU
Architecture
RV670
Process
55nm
TMUs
16
Texture Rate
13 GTexel/s
ROPs
16
Pixel Rate
13 GPixel/s
Shader Processing Units
Ray Tracing
Tensor Cores
Release Price
Compatibility
Direct X
DX 10.1
Shader
4.0
Open GL
3.0
Resolution (WxH)
2560 x 1600
Notebook GPU
SLI/Crossfire
Dedicated
Integrated
Memory
Memory
2048MB
Memory Speed
800MHz
Memory Bus
256bit
Memory Type
GDDR3
Memory Bandwidth
51.2GB/sec
L2 Cache
Display Connectors
VGA Connection
DVI Connection
2
HDMI Connection
DisplayPort Connection
Clock Speeds
Core Speed
800 MHz
Power
Max Power
105 Watts
PSU
500 Watt & 33 Amps
Power Connector
None
Recommended Hardware
Best CPU Match
Best RAM Match
4 GB
Best Resolution
1366 x 768
GPU Upgrade
GD Official
GD RATING
0
Approved

FireStream 9170 Game Requirement Analysis

AMD FireStream stream processors deliver all of the parallel processing power of the GPU to compute-intensive applications for scientists, engineers and consumers. Using up to 500 GFLOPS developers can dramatically increase the performance of their data parallel task applications.

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