EVGA GeForce GTX 1080 Ti K|NGP|N GAMING vs. Zotac GAMING GeForce GTX 1660 SUPER AMP

GPU comparison with benchmarks

EVGA GeForce GTX 1080 Ti K|NGP|N GAMING
-VS-
Zotac GAMING GeForce GTX 1660 SUPER AMP
GPU
NVIDIA GeForce GTX 1080 Ti Based on NVIDIA GeForce GTX 1660 SUPER
GP102-350-K1-A1 GPU Chip TU116-300-A1
28 Execution units 22
3584 Shader 1408
88 Render Output Units 48
224 Texture Units 88
Memory
11 GB Memory Size 6 GB
GDDR5X Memory Type GDDR6
1.376 GHz Memory Speed 1.75 GHz
484 GB/s Memory Bandwith 336 GB/s
352 bit Memory Interface 192 bit
Clock Speeds
1.582 GHz Base Clock 1.530 GHz
1.695 GHz Boost Clock 1.845 GHz
Avg (Game) Clock
Yes Overclocking Yes
Thermal Design
250 W TDP 125 W
-- TDP (up) --
-- Tjunction max --
2 x 8-Pin PCIe-Power 1 x 8-Pin
Cooler & Fans
Axial Fan-Type Axial
3 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
4 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 3x DP v1.4
1 DVI Ports --
-- 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
Decode VP8 Decode
Decode VP9 Decode
Dimensions
300 mm Length 210 mm
143 mm Height 119 mm
-- Width 41 mm
2 PCIe-Slots Width (Slots) 2 PCIe-Slots
-- Weight --
PCIe 3.0 x 16 GPU Interface PCIe 3.0 x 16
Additional data
11G-P4-6798-KR Part-no ZT-T16620D-10M
Q1/2017 Release date Q4/2019
-- Release price --
16 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 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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