GIGABYTE GeForce GTX 1660 OC 6G vs. ASUS Cerberus GeForce GTX 1050 Ti OC Edition

GPU comparison with benchmarks

GIGABYTE GeForce GTX 1660 OC 6G
-VS-
ASUS Cerberus GeForce GTX 1050 Ti OC Edition
GPU
NVIDIA GeForce GTX 1660 Based on NVIDIA GeForce GTX 1050 Ti
TU116-300-A1 GPU Chip GP107-400-A1
22 Execution units 6
1408 Shader 768
48 Render Output Units 32
88 Texture Units 48
Memory
6 GB Memory Size 4 GB
GDDR5 Memory Type GDDR5
2 GHz Memory Speed 1.752 GHz
192 GB/s Memory Bandwith 112 GB/s
192 bit Memory Interface 128 bit
Clock Speeds
1.530 GHz Base Clock 1.341 GHz
1.830 GHz Boost Clock 1.480 GHz
1.79 GHz Avg (Game) Clock 1.46 GHz
Yes Overclocking Yes
Thermal Design
120 W TDP 75 W
-- TDP (up) --
-- Tjunction max --
1 x 8-Pin PCIe-Power 1 x 6-Pin
Cooler & Fans
Axial Fan-Type Axial
2 x 90 mm Fan 1 2 x 80 mm
-- Fan 2 --
Air cooling Cooler-Type Air cooling
0 dB / Silent Noise (Idle) 0 dB / Silent
-- Noise (Load) --
Connectivity
3 Max. Displays 3
2.2 HDCP-Version 2.2
1x HDMI v2.0b HDMI Ports 1x HDMI v2.0b
3x DP v1.4 DP Ports 1x DP v1.4
-- DVI Ports 1
-- USB-C Ports --
Featureset
3840x2160 Max. resolution 7680x4320
12_1 DirectX 12_1
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 No
Decode VP9 Decode
Dimensions
224 mm Length 203 mm
121 mm Height 115 mm
40 mm Width 38 mm
2 PCIe-Slots Width (Slots) 2 PCIe-Slots
-- Weight --
PCIe 3.0 x 16 GPU Interface PCIe 3.0 x 16
Additional data
GV-N1660OC-6GD Part-no CERBERUS-GTX1050TI-O4G
Q1/2019 Release date Q3/2016
-- 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 Ethereum Hashrate (MH/s) - Ethash Hashrate

Ethash is the Proof-of-Work (PoW) algorithm used for the crypto currency Ethereum. Ethash is based on the Dagger-Hashimoto algorithm, but has been significantly changed in some places. For example, the memory requirement (GPU memory) was significantly increased in order to make it more difficult or even to prevent the calculation of the algorithm on so-called ASICs (Application Specific Integrated Circuits). Our benchmark results are based on a slight overclocking of the graphics card and the GPU memory. The hash values achieved can be easily accessed from any card.




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.




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.




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.




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