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Worth the change? 480 4g vs 1060 6gb

lautaro_busto

Hi. Currently have a asus dual rx480 4gb, I could change my 480 plus aprox 50 USD for a gigabyte g1 1060 6gb. I currently have 3 displays 1080p each time to time like to play with 3 of them proje t cars and grid.. Now im starting to play with some deep learning and I've read that Cuda cores can improve processing time. So I'm interested but idk if it's a good idea not an expert on hardware. Also don't tell me to buy a 2060. This is a deal with a friend so is this change or stay the same not looking to buy a new gpu. 

Edit : I live in Argentina so Amazon eBay are off the table 

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makes zero sense, the 1060 is not even objectively faster. Tensor core is what you'd want but the 1060 has none of it. the 2060 that you kicked out does have some though.

CPU: i7-2600K 4751MHz 1.44V (software) --> 1.47V at the back of the socket Motherboard: Asrock Z77 Extreme4 (BCLK: 103.3MHz) CPU Cooler: Noctua NH-D15 RAM: Adata XPG 2x8GB DDR3 (XMP: 2133MHz 10-11-11-30 CR2, custom: 2203MHz 10-11-10-26 CR1 tRFC:230 tREFI:14000) GPU: Asus GTX 1070 Dual (Super Jetstream vbios, +70(2025-2088MHz)/+400(8.8Gbps)) SSD: Samsung 840 Pro 256GB (main boot drive), Transcend SSD370 128GB PSU: Seasonic X-660 80+ Gold Case: Antec P110 Silent, 5 intakes 1 exhaust Monitor: AOC G2460PF 1080p 144Hz (150Hz max w/ DP, 121Hz max w/ HDMI) TN panel Keyboard: Logitech G610 Orion (Cherry MX Blue) with SteelSeries Apex M260 keycaps Mouse: BenQ Zowie FK1

 

Model: HP Omen 17 17-an110ca CPU: i7-8750H (0.125V core & cache, 50mV SA undervolt) GPU: GTX 1060 6GB Mobile (+80/+450, 1650MHz~1750MHz 0.78V~0.85V) RAM: 8+8GB DDR4-2400 18-17-17-39 2T Storage: HP EX920 1TB PCIe x4 M.2 SSD + Crucial MX500 1TB 2.5" SATA SSD, 128GB Toshiba PCIe x2 M.2 SSD (KBG30ZMV128G) gone cooking externally, 1TB Seagate 7200RPM 2.5" HDD (ST1000LM049-2GH172) left outside Monitor: 1080p 126Hz IPS G-sync

 

Desktop benching:

Cinebench R15 Single thread:168 Multi-thread: 833 

SuperPi (v1.5 from Techpowerup, PI value output) 16K: 0.100s 1M: 8.255s 32M: 7m 45.93s

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2 minutes ago, Jurrunio said:

makes zero sense, the 1060 is not even objectively faster.

If deep learning works better with Cuda, then the 1060 does have a slight advantage there.

 

But overall, they're basically the same card.

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Tensorflow (a really popular deep learning library) requires CUDA. This is also pretty much the same across other libraries such as pytorch. So, if you are doing deep learning, I would really suggest a NVIDIA gpu.

 

That said, if you really want to stick with the 480, there's the ROCm port (https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) which allows it to run on AMD gpus.

 

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You do realise that the 480 is a faster card right? I wouldn't touch a thing ;)

MSI RX 570 8GB | i7 3370 @3.4/3.8  |  MS Spectrum  |  120GB OCZ VERT3X SSD  | Seagate 1TB SSHD |

 

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I mean if it's a straight trade and doesn't cost anything, sure. They're basically equal in modern games, but you'd get a bit more VRAM for gaming, plus IIRC cuda cores are a bit better for Deep Learning because some stuff requires an Nvidia GPU, but I don't know enough to make a definitive statement. But yeah for just gaming sure why not. 


Main System: EVGA GTX 1080 SC, i7 8700, 16GB DDR4 Corsair LPX 3000mhz CL15, Asus Z370 Prime A, Noctua NH D15, EVGA GQ 650W, Fractal Design Define R5, 2TB Seagate Barracuda, 500gb Samsung 850 Evo
Secondary System: EVGA GTX 780ti SC, i5 3570k @ 4.5ghz, 16gb DDR3 1600mhz, MSI Z77 G43, Noctua NH D15, EVGA GQ 650W, Fractal Design Define R4, 3TB WD Caviar Blue, 250gb Samsung 850 Evo
 
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