ASUS Dual GeForce GTX 1660 SUPER EVO Advanced
Benchmark and Specs

ASUS Dual GeForce GTX 1660 SUPER EVO Advanced
GPU Memory
Based on: NVIDIA GeForce GTX 1660 SUPER Memory Size: 6 GB
GPU Chip: TU116-300-A1 Memory Type: GDDR6
Execution units: 22 Memory Speed: 1.75 GHz
Shader: 1408 Memory Bandwith: 336 GB/s
Render Output Units: 48 Memory Interface: 192 bit
Texture Units: 88
Clock Speeds Thermal Design
Base Clock: 1.530 GHz TDP: 125 W
Boost Clock: 1.830 GHzDeviation vs GPU group+ 3 % TDP (up): --
Avg (Game) Clock: 1.800 GHz Tjunction max: --
Overclocking: Yes PCIe-Power: 1 x 8-Pin
Cooler & Fans
Fan-Type: Axial Cooler-Type: Air cooling
Fan 1: 2 x 90 mm Noise (Idle): 0 dB / Silent
Fan 2: -- Noise (Load): --
Connectivity Featureset
Max. Displays: 3 Max. resolution: 3840x2160
HDCP-Version: 2.2 DirectX: 12_1
HDMI Ports: 1x HDMI v2.0b Raytracing: No
DP Ports: 1x DP v1.4 DLSS / FSR: No
DVI Ports: 1
USB-C Ports: --
Supported Video Codecs
h264: Decode / Encode VP8: Decode
h265 / HEVC: Decode / Encode VP9: Decode
AV1: No
Dimensions Additional data
Length: 242 mm GPU Interface: PCIe 3.0 x 16
Height: 130 mm Release date: Q4/2019
Width: 53 mm Release price: --
Width (Slots): 3 PCIe-Slots Structure size: 12 nm
Weight: -- Part-no: DUAL-GTX1660S-A6G-EVO
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.





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