ASUS Radeon RX Vega 64 Silver
Benchmark and Specs

ASUS Radeon RX Vega 64 Silver
GPU Memory
Based on: AMD RX Vega 64 Memory Size: 8 GB
GPU Chip: Vega 10 XT Memory Type: HBM2
Execution units: 64 Memory Speed: 0.945 GHz
Shader: 4096 Memory Bandwith: 484 GB/s
Render Output Units: 64 Memory Interface: 2048 bit
Texture Units: 256
Clock Speeds Thermal Design
Base Clock: 1.247 GHz TDP: 295 W
Boost Clock: 1.546 GHz TDP (up): --
Avg (Game) Clock: Tjunction max: --
Overclocking: Yes PCIe-Power: 2 x 8-Pin
Cooler & Fans
Fan-Type: Radial Cooler-Type: Air cooling
Fan 1: 1 x 75 mm Noise (Idle): 0 dB / Silent
Fan 2: -- Noise (Load): --
Connectivity Featureset
Max. Displays: 4 Max. resolution: 7680x4320
HDCP-Version: -- DirectX: 12_1
HDMI Ports: 1x HDMI v2.0b Raytracing: No
DP Ports: 3x DP v1.4 DLSS / FSR: No
DVI Ports: --
USB-C Ports: --
Supported Video Codecs
h264: Decode / Encode VP8: Decode
h265 / HEVC: Decode / Encode VP9: Decode / Encode
AV1: No
Dimensions Additional data
Length: 283 mm GPU Interface: PCIe 3.0 x 16
Height: 130 mm Release date: Q3/2017
Width: 40 mm Release price: --
Width (Slots): 2 PCIe-Slots Structure size: 14 nm
Weight: -- Part-no: RXVEGA64-8G-SILVER
Documents: --


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.




3DMark Benchmark - Time Spy (Performance) Graphics score

3DMark is a benchmark that mainly measures the graphics card. As in almost every graphics card benchmark, however, the system's processor has an effect on the result. We therefore use a fast processor in order not to limit the graphics card during the test.




3DMark Benchmark - Fire Strike (Extreme) Graphics score

3DMark is a benchmark that mainly measures the graphics card. As in almost every graphics card benchmark, however, the system's processor has an effect on the result. We therefore use a fast processor in order not to limit the graphics card during the test.




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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