RX Vega 64 vs RTX 2070 Super ⚙️
0x1010.895MH/s131W0.083MH/W
Allium10.298MH/s207W0.05MH/W
Argon2d-dyn257.25KH/s204W1.261KH/W
Argon2d-ninja—KH/s—W—KH/W
Argon2d2501043.01KH/s214W4.874KH/W
Argon2d409645.136KH/s213W0.212KH/W
Astralhash13.734MH/s139W0.099MH/W
Autolykos272.057MH/s183W0.394MH/W
BCD29.151MH/s129W0.226MH/W
BMW5121172.593MH/s66W17. 767MH/W
BeamHashII29.767H/s204W0.146H/W
BeamHashIII26.18H/s166W0.158H/W
Blake (14r)3.441GH/s121W0.028GH/W
Blake (2b)2.289GH/s126W0.018GH/W
Blake (2s)5.111GH/s137W0.037GH/W
Blake (2s-Kadena)1.13GH/s212W0.005GH/W
C1134.369MH/s125W0.275MH/W
CNReverseWaltz1007.82H/s152W6.63H/W
Chukwa99.925KH/s204W0.49KH/W
Chukwa235.507KH/s215W0. 165KH/W
Cortex0.064H/s128W0.001H/W
CryptoNightAlloy392.51H/s89W4.41H/W
CryptoNightArto744.41H/s89W8.364H/W
CryptoNightConceal1544H/s120W12.867H/W
CryptoNightFast1445.528H/s102W14.172H/W
CryptoNightFastV2—H/s—W—H/W
CryptoNightGPU2227.6H/s217W10.265H/W
CryptoNightHaven930H/s88W10.568H/W
CryptoNightHeavy906.34H/s122W7.429H/W
CryptoNightHeavyX395. 6H/s134W2.952H/W
CryptoNightLiteV71.629KH/s120W0.014KH/W
CryptoNightR803.6H/s114W7.049H/W
CryptoNightSaber897.61H/s131W6.852H/W
CryptoNightStelliteV4796.19H/s120W6.635H/W
CryptoNightStelliteV51335.27H/s92W14.514H/W
CryptoNightTurtle6.808KH/s118W0.058KH/W
CryptoNightUPX226.59KH/s146W0.182KH/W
CryptoNightV70.819KH/s121W0.007KH/W
CryptoNightV8820.7H/s117W7. 015H/W
CryptoNightWOW—H/s—W—H/W
CryptoNightZLS1068.9H/s159W6.723H/W
Cuckaroo29S4.42H/s197W0.022H/W
Cuckaroo29b4.397H/s176W0.025H/W
CuckooBFC45.46H/s105W0.433H/W
CuckooCycle6.854H/s180W0.038H/W
Curvehash5488851000000H/s196W28004341836.735H/W
Darkcoin—H/s—W—H/W
Dedal9.782MH/s142W0.069MH/W
Eaglesong0.851GH/s92W0. 009GH/W
Equihash0.633KH/s150W0.004KH/W
Equihash(125,4)50.77H/s146W0.348H/W
Equihash(144,5)64H/s213W0.3H/W
Equihash(150,5)36.03H/s154W0.234H/W
Equihash(192,7)35H/s211W0.166H/W
Equihash(210,9)290.73H/s154W1.888H/W
Equihash(96,5)26.683KH/s167W0.16KH/W
Equihash+Scrypt31.673KH/s210W0.151KH/W
EquihashBTCZ62H/s168W0.369H/W
EquihashBTG64H/s223W0. 287H/W
EquihashSAFE63H/s182W0.346H/W
Etchash36.841MH/s171W0.215MH/W
Ethash37.241MH/s151W0.247MH/W
FiroPoW16.69MH/s205W0.081MH/W
GhostRider830H/s127W6.535H/W
Globalhash28.224MH/s64W0.441MH/W
HMQ17255.527MH/s172W0.032MH/W
Handshake0.312GH/s97W0.003GH/W
HeavyHash337.305MH/s185W1.823MH/W
Hex13.01MH/s87W0. 15MH/W
HoneyComb0.524MH/s63W0.008MH/W
Jeonghash9.384MH/s183W0.051MH/W
KAWPOW22.705MH/s166W0.137MH/W
KangarooTwelve—MH/s—W—MH/W
Keccak1.081GH/s170W0.006GH/W
Keccak-C1.048GH/s202W0.005GH/W
Lyra2REv266.091MH/s120W0.551MH/W
Lyra2REv360.915MH/s203W0.3MH/W
Lyra2vc0ban63.873MH/s122W0.524MH/W
Lyra2z2.608MH/s92W0. 028MH/W
MTP—MH/s—W—MH/W
Mike776MH/s99W7.838MH/W
Myr-Groestl0.121GH/s88W0.001GH/W
NIST50.045GH/s216W0GH/W
NeoScrypt1.379MH/s214W0.006MH/W
Octopus46.363MH/s212W0.219MH/W
PHI161218.185MH/s156W0.117MH/W
PHI27.598MH/s116W0.066MH/W
Padihash0.262MH/s63W0.004MH/W
Pawelhash5.605MH/s143W0.039MH/W
ProgPow17. 7MH/s212W0.083MH/W
ProgPowSERO17.811MH/s52W0.343MH/W
ProgPowZ18.999MH/s197W0.096MH/W
Radiant254.91MH/s245W1.04MH/W
RandomKEVA927.12H/s54W17.169H/W
RandomSFX923.16H/s54W17.096H/W
RandomX926.43H/s54W17.156H/W
SHA-256csm267.077MH/s74W3.609MH/W
ScryptSIPC728.1KH/s124W5.872KH/W
Skein0.856GH/s208W0.004GH/W
Skein2523. 074MH/s96W5.449MH/W
Skunkhash24.298MH/s171W0.142MH/W
SonoA1.485MH/s138W0.011MH/W
Tellor0GH/s210W0GH/W
Tensority0.01KH/s209W0KH/W
TimeTravel1038.667MH/s190W0.204MH/W
Tribus59.758MH/s170W0.352MH/W
Ubqhash37.043MH/s188W0.197MH/W
Verthash—MH/s—W—MH/W
VerusHash—MH/s—W—MH/W
X11k2.124MH/s145W0. 015MH/W
X1510.108MH/s186W0.054MH/W
X16R13.184MH/s176W0.075MH/W
X16RT10.164MH/s165W0.062MH/W
X16RTVEIL10.169MH/s161W0.063MH/W
X16Rv227.907MH/s139W0.201MH/W
X16S23.402MH/s152W0.154MH/W
X1710.033MH/s124W0.081MH/W
X17R9.259MH/s170W0.054MH/W
X180.262MH/s62W0.004MH/W
X21S7.248MH/s155W0. 047MH/W
X22i0.524MH/s45W0.012MH/W
X25X4.979MH/s123W0.04MH/W
X3313.169MH/s117W0.113MH/W
Xevan3.663MH/s168W0.022MH/W
Zhash66H/s222W0.297H/W
cuckARoo297.82H/s132W0.059H/W
cuckARood292.11H/s133W0.016H/W
cuckARoom293.29H/s157W0.021H/W
cuckARooz295.14H/s127W0.04H/W
cuckAToo310.52H/s211W0. 002H/W
cuckAToo320.4H/s191W0.002H/W
vProgPow9.442MH/s138W0.068MH/W
Nvidia GeForce RTX 2070 Super vs AMD Radeon RX Vega 64
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Nvidia GeForce RTX 2070 Super vs AMD Radeon RX Vega 64
Comparison of the technical characteristics between the graphics cards, with Nvidia GeForce RTX 2070 Super on one side and AMD Radeon RX Vega 64 on the other side. The first is dedicated to the desktop sector, it has 2560 shading units, a maximum frequency of 1,8 GHz, its lithography is 12 nm. The second is used on the desktop segment, it includes 4096 shading units, a maximum frequency of 1,5 GHz, its lithography is 14 nm. The following table also compares the boost clock, the number of shading units (if indicated), of execution units, the amount of cache memory, the maximum memory capacity, the memory bus width, the release date, the number of PCIe lanes, the values obtained in various benchmarks.
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Specifications:
Graphics card | Nvidia GeForce RTX 2070 Super | AMD Radeon RX Vega 64 | ||||||
Market (main) | Desktop | Desktop | ||||||
Release date | Q3 2019 | Q3 2017 | ||||||
Model number | TU104-410-A1 | 215-0894200, Vega 10 XT | ||||||
GPU name | TU104 | Vega 10 | ||||||
Architecture | Turing | GCN 5. 0 | ||||||
Generation | GeForce 20 | RX Vega | ||||||
Lithography | 12 nm | 14 nm | ||||||
Transistors | 13.600.000.000 | 12.500.000.000 | ||||||
Bus interface | PCIe 3.0 x16 | PCIe 3.0 x16 | ||||||
GPU base clock | 1,61 GHz | 1,25 GHz | ||||||
GPU boost clock | 1,77 GHz | 1,55 GHz | ||||||
Memory frequency | 1.750 MHz | 945 MHz | ||||||
Effective memory speed | 14 GB/s | 1,9 GB/s | ||||||
Memory size | 8 GB | 8 GB | ||||||
Memory type | GDDR6 | HBM2 | ||||||
Memory bus | 256 Bit | 2048 Bit | ||||||
Memory bandwidth | 448,0 GB/s | 483,8 GB/s | ||||||
TDP | 215 W | 295 W | ||||||
Suggested PSU | 650W ATX Power Supply | 600W ATX Power Supply | ||||||
Multicard technology | 2-way NVLink | — | ||||||
Outputs |
1x HDMI |
1x HDMI |
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Maximum GPU Temperature | 88°C | 85°C | ||||||
Cores (compute units, SM, SMX) | 40 | 64 | ||||||
Shading units (cuda cores) | 2. 560 | 4.096 | ||||||
TMUs | 160 | 256 | ||||||
ROPs | 64 | 64 | ||||||
Cache memory | 4 MB | 4 MB | ||||||
Pixel fillrate | 113,3 GP/s | 98,9 GP/s | ||||||
Texture fillrate | 283,2 GT/s | 395,8 GT/s | ||||||
Performance FP16 (half) | 18,1 TFLOPS | 25,3 TFLOPS | ||||||
Performance FP32 (float) | 9,1 TFLOPS | 12,7 TFLOPS | ||||||
Performance FP64 (double) | 283,2 GFLOPS | 791,6 GFLOPS | ||||||
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Note: Commissions may be earned from the links above.
Price: For technical reasons, we cannot currently display a price less than 24 hours, or a real-time price. This is why we prefer for the moment not to show a price. You should refer to the respective online stores for the latest price, as well as availability.
We can better compare what are the technical differences between the two graphics cards.
Performances :
Performance comparison between the two processors, for this we consider the results generated on benchmark software such as Geekbench 4.
FP32 Performance in GFLOPS | |
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AMD Radeon RX Vega 64 |
12.660 |
Nvidia GeForce RTX 2070 Super |
9.062 |
The difference is 40%.
Note: Commissions may be earned from the links above. These scores are only an
average of the performances got with these graphics cards, you may get different results.
Single precision floating point format, also known as FP32, is a computer number format that typically occupies 32 bits in PC memory. This represents a wide dynamic range of numeric values that employs a floating point.
See also:
Nvidia GeForce RTX 2070 Super Max-QNvidia GeForce RTX 2070 Super Mobile
AMD Radeon RX Vega 64 Limited EditionAMD Radeon RX Vega 64 Liquid Cooling
Equivalence:
Nvidia GeForce RTX 2070 Super AMD equivalentAMD Radeon RX Vega 64 Nvidia equivalent
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