ASUS Cerberus GeForce GTX 1050 Ti OC Edition vs. MSI GeForce GTX 1660 TI VENTUS XS 6G V1

GPU comparison with benchmarks

ASUS Cerberus GeForce GTX 1050 Ti OC Edition
-VS-
MSI GeForce GTX 1660 TI VENTUS XS 6G V1
GPU
NVIDIA GeForce GTX 1050 Ti Based on NVIDIA GeForce GTX 1660 Ti
GP107-400-A1 GPU Chip TU116-400-A1
6 Execution units 24
768 Shader 1536
32 Render Output Units 48
48 Texture Units 96
Memory
4 GB Memory Size 6 GB
GDDR5 Memory Type GDDR6
1.752 GHz Memory Speed 1.5 GHz
112 GB/s Memory Bandwith 288 GB/s
128 bit Memory Interface 192 bit
Clock Speeds
1.341 GHz Base Clock 1.500 GHz
1.480 GHz Boost Clock 1.770 GHz
1.46 GHz Avg (Game) Clock
Yes Overclocking Yes
Thermal Design
75 W TDP 120 W
-- TDP (up) --
-- Tjunction max --
1 x 6-Pin PCIe-Power 1 x 8-Pin
Cooler & Fans
Axial Fan-Type Axial
2 x 80 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 3
2.2 HDCP-Version 2.2
1x HDMI v2.0b HDMI Ports 1x HDMI v2.0b
1x DP v1.4 DP Ports 1x DP v1.4a
1 DVI Ports 1
-- USB-C Ports --
Featureset
7680x4320 Max. resolution 3840x2160
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
No VP8 Decode
Decode VP9 Decode
Dimensions
203 mm Length 205 mm
115 mm Height 126 mm
38 mm Width 42 mm
2 PCIe-Slots Width (Slots) 2 PCIe-Slots
-- Weight 684 g
PCIe 3.0 x 16 GPU Interface PCIe 3.0 x 16
Additional data
CERBERUS-GTX1050TI-O4G Part-no --
Q3/2016 Release date Q1/2019
-- Release price --
14 nm Structure size 12 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 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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