MSI GeForce GTX 1660 SUPER VENTUS OC vs. GIGABYTE Radeon RX 570 Gaming 8G

GPU comparison with benchmarks

MSI GeForce GTX 1660 SUPER VENTUS OC
-VS-
GIGABYTE Radeon RX 570 Gaming 8G
GPU
NVIDIA GeForce GTX 1660 SUPER Based on AMD Radeon RX 570
TU116-300-A1 GPU Chip Polaris 20 XL
22 Execution units 32
1408 Shader 2048
48 Render Output Units 32
88 Texture Units 128
Memory
6 GB Memory Size 8 GB
GDDR6 Memory Type GDDR5
1.75 GHz Memory Speed 1.75 GHz
336 GB/s Memory Bandwith 224 GB/s
192 bit Memory Interface 256 bit
Clock Speeds
1.530 GHz Base Clock 1.178 GHz
1.815 GHz Boost Clock 1.255 GHz
Avg (Game) Clock
Yes Overclocking Yes
Thermal Design
125 W TDP 150 W
-- TDP (up) --
-- Tjunction max --
1 x 8-Pin PCIe-Power 1 x 8-Pin
Cooler & Fans
Axial Fan-Type Axial
2 x 90 mm Fan 1 2 x 90 mm
-- Fan 2 --
Air cooling Cooler-Type Air cooling
0 dB / Silent Noise (Idle) 0 dB / Silent
-- Noise (Load) --
Connectivity
3 Max. Displays 4
2.2 HDCP-Version 2.2
1x HDMI v2.0b HDMI Ports 1x HDMI v2.0b
3x DP v1.4a DP Ports 3x DP v1.4
-- DVI Ports --
-- VGA Ports --
-- USB-C Ports --
Featureset
3840x2160 Max. resolution 5120x2880
12_1 DirectX 12
No Raytracing No
No DLSS / FSR No
Supported Video Codecs
Decode / Encode h264 Decode / Encode
Decode / Encode h265 / HEVC Decode / Encode
No AV1 No
Decode VP8 Decode
Decode VP9 Decode
Dimensions
231 mm Length 232 mm
128 mm Height 116 mm
42 mm Width 36 mm
2 PCIe-Slots Width (Slots) 2 PCIe-Slots
718 g Weight --
PCIe 3.0 x 16 GPU Interface PCIe 3.0 x 16
Additional data
-- Part-no GV-RX570GAMING-8GD
Q4/2019 Release date Q4/2017
-- Release price --
12 nm Structure size 14 nm
data sheet Documents data sheet

Benchmark results

FP32 Performance (Single-precision TFLOPS) - FP32 (TFLOPS)

The theoretical computing power of the graphics card with single precision (32 bit) in TFLOPS. TFLOPS indicates how many trillion FP32 floating point operations the graphics card (GPU) can perform per second. The larger this number, the faster the graphics card is.




Crypto-Mining Ergo Hashrate (MH/s) - Autolykos 2 Hashrate

The crypto currency Ergo is based on the Autolykos algorithm, which was updated in version 2 (Autolykos 2) in early 2021. The Autolykos 2 algorithm is based on the PoW concept and can be efficiently calculated by a graphics card. When calculating Ergo Coins, ASICs have no efficiency advantage over modern graphics cards, which should make Ergo attractive for as many miners as possible. The Ergo protocol is based on the blockchain and has been optimized for a very long shelf life. The hashrates were achieved under Hive OS with moderate overclocking settings.




Crypto-Mining Ravencoin Hashrate (MH/s) - KawPow Hashrate

The KawPoW algorithm has been used with the crypto currency Ravencoin since May 2020. Previously, Ravencoin used ProgPoW (X16R and X16Rv2). KawPoW is a Proof-of-Work (PoW) algorithm and is calculated the fastest with a modern graphics card. KawPoW is based on a changing algorithm (X15 and SHA51) and can therefore not be calculated via ASIC. The developers want to protect Ravencoin from large mining farms that often use ASICs. In addition to Ravencoin, other cryptocurrencies are based on KawPoW, including Hilux and Gravium. The hashrates were achieved under Hive OS with moderate overclocking settings.




Crypto-Mining Vertcoin Hashrate (MH/s) - Verthash Hashrate

The crypto currency VertCoin (VTC) is calculated with the new Verthash algorithm since January 2021. This is a very memory-intensive PoW algorithm that is difficult to calculate with an ASIC. The developers have set themselves the goal that VertCoin should be calculated via a graphics card and not with so-called ASICs. These are increasingly used in large mining farms. Verthash currently requires a graphics card with at least 2 GB of memory. The hashrates were achieved under Hive OS with moderate overclocking settings.




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