Which graphics card suits FX-8300

Which GPU FX-8300 can fully unlock and where you start overpaying for the graphics card — FPSHQ unified FPS model in demanding games.

Short answer

FX-8300 unlocks graphics cards up to the Radeon RX 580 level (about 6% CPU loss). The optimal no-waste pick is GeForce GTX 780. GPUs faster than Radeon RX 580 will be held back by the CPU — you would pay for frames you never get.

Key numbers
FX-8300 gaming score	1,760 / 10 000
Cores / threads	8 / 8
Socket	AM3+
Fastest GPU without loss	Radeon RX 580
PSU for GeForce GTX 780 + FX-8300	from 600 W

data updated Oct 9, 2026 · Sources: methodology, bottleneck calculation, FPS model, PSU calculation

Three options: minimum, balanced, headroom

minimum CPU headroom

GeForce GTX 780

25FPS · 1080p

2%FPS loss

GPU utilisation: 98%

Price: —

balanced CPU headroom

GeForce GTX 780

25FPS · 1080p

2%FPS loss

GPU utilisation: 98%

Price: —

maximum Optimal

Radeon RX 580

33FPS · 1080p

6%FPS loss

GPU utilisation: 94%

Price: —

Graphics cards on the scale for FX-8300

Each dot is a graphics card (axis — FPSHQ GPU performance score, 0–10,000). Green — optimal, red — FX-8300 won’t unlock it, yellow — the CPU has lots of headroom. Resolution follows the GPU class.

Optimal Bottlenecked (overpaying for GPU) CPU headroom

Graphics card ranking for FX-8300

Average FPS in demanding games (high) at the GPU-class resolution and the share of frames lost to the CPU.

Graphics card	Year	Resolution	FPS	FPS loss	Verdict	Price
GeForce GTX 1070	2016	1080p	42	20%	Bottlenecked (overpaying for GPU)	—
GeForce GTX 1660 Super	2019	1080p	42	18%	Bottlenecked (overpaying for GPU)	—
GeForce GTX 1660 Ti	2019	1080p	40	15%	Bottlenecked (overpaying for GPU)	—
GeForce GTX 1660	2019	1080p	39	13%	Bottlenecked (overpaying for GPU)	—
Radeon RX Vega 64	2017	1080p	39	13%	Bottlenecked (overpaying for GPU)	—
GeForce GTX 1060 6GB	2016	1080p	36	9%	Optimal	—
Radeon RX 5500 XT	2019	1080p	36	9%	Optimal	—
Radeon RX Vega 56	2017	1080p	36	9%	Optimal	—
Radeon RX 6500 XT	2022	1080p	34	8%	Optimal	—
Radeon RX 590	2017	1080p	35	8%	Optimal	—
Intel Arc A380	2022	1080p	33	6%	Optimal	—
GeForce GTX 980	2014	1080p	32	6%	Optimal	—
Radeon RX 5500	2019	1080p	32	6%	Optimal	—
Radeon RX 580	2017	1080p	33	6%	Optimal	—
GeForce GTX 1650	2019	1080p	27	2%	Optimal	—
GeForce GTX 780 Ti	2013	1080p	28	3%	Optimal	—
Radeon RX 570	2017	1080p	30	5%	Optimal	—
Radeon RX 480	2016	1080p	30	3%	Optimal	—
Radeon RX 6400	2020	1080p	27	2%	Optimal	—
GeForce GTX 780	2013	1080p	25	2%	CPU headroom	—
Radeon RX 470	2016	1080p	25	2%	CPU headroom	—
GeForce GTX 770	2013	1080p	23	2%	CPU headroom	—
GeForce GTX 1050 Ti	2016	1080p	22	1%	CPU headroom	—
Intel Arc A310	2022	1080p	22	1%	CPU headroom	—

FPS is the average across demanding games, high settings, 1080p; loss is the share of GPU frames taken away by the CPU (up to 144 FPS). No fresh store prices (last 30 days) in our database yet — prices are not shown.

Popular graphics cards with FX-8300

Most searched graphics cards (Yandex queries) — average FPS in demanding games with FX-8300.

GeForce RTX 5060 + FX-8300 Bottlenecked (overpaying for GPU) GeForce RTX 5070 + FX-8300 Bottlenecked (overpaying for GPU) GeForce RTX 4060 + FX-8300 Bottlenecked (overpaying for GPU) GeForce RTX 3070 + FX-8300 Bottlenecked (overpaying for GPU) GeForce RTX 5060 Ti + FX-8300 Bottlenecked (overpaying for GPU) GeForce RTX 3080 + FX-8300 Bottlenecked (overpaying for GPU) GeForce RTX 4060 Ti + FX-8300 Bottlenecked (overpaying for GPU) Radeon RX 580 + FX-8300 Optimal GeForce RTX 3060 + FX-8300 Bottlenecked (overpaying for GPU) GeForce RTX 3070 Ti + FX-8300 Bottlenecked (overpaying for GPU) GeForce RTX 3050 + FX-8300 Bottlenecked (overpaying for GPU) GeForce RTX 5070 Ti + FX-8300 Bottlenecked (overpaying for GPU)

FPS with FX-8300 and different graphics cards in popular games

FPSHQ unified model forecast, high settings; ● — real measurement, “CPU” — CPU-bound.

Game	GeForce GTX 780 · minimum 1080p	Radeon RX 580 · maximum 1080p
Cyberpunk 2077	19	25
Counter-Strike 2	101 CPU	116 CPU
Dota 2	113 CPU	124 CPU
Minecraft	76	91 CPU
Grand Theft Auto V	45	54 CPU
League of Legends	47 CPU	55 CPU
Elden Ring	23	29
Grand Theft Auto IV	23	29

Average FPS, High preset. ● — real measurement (0 of 16 cells), the rest is the unified FPSHQ model; "CPU" — CPU-limited. How FPS is calculated

How resolution shifts the load: GeForce GTX 780 + FX-8300

The higher the resolution, the more work for the GPU and the smaller the CPU’s impact (average FPS in demanding games).

1080p

CPU loss: 2%

1440p

CPU loss: 0%

Key figures

Unique FPSHQ metrics from this page's data

1,760 / 10 000

FX-8300 gaming score

8 / 8

Cores / threads

AM3+

Socket

Radeon RX 580

Fastest GPU without loss

from 600 W

PSU for GeForce GTX 780 + FX-8300

In short

Which graphics card suits FX-8300

The fastest card FX-8300 still unlocks is Radeon RX 580 (about 6% loss); the optimal pick is GeForce GTX 780. Faster cards will be held back by the CPU.

FX-8300 gaming score: 1,760 / 10 000
Cores / threads: 8 / 8
Socket: AM3+
Fastest GPU without loss: Radeon RX 580

updated Oct 9, 2026 · source: FPSHQ model estimate

Frequently asked questions

Which graphics card suits FX-8300?

The fastest card FX-8300 still unlocks is Radeon RX 580 (about 6% loss); the optimal pick is GeForce GTX 780. Faster cards will be held back by the CPU.

Will FX-8300 bottleneck GeForce RTX 5060?

Yes: in demanding games (1080p) FX-8300 holds GeForce RTX 5060 back by about 48% — 48 FPS on average instead of 94.

What power supply do I need for GeForce GTX 780 and FX-8300?

600 W or more: about 435 W load, short spikes up to 535 W (FPSHQ unified PSU formula).

Why is the bottleneck judged on demanding games?

In esports titles running at 300+ FPS any CPU becomes the limit, so we judge GPU utilisation on popular demanding games (Cyberpunk 2077, Elden Ring, Grand Theft Auto IV, Max Payne 3) at 1080p, up to 144 FPS — a typical gaming monitor refresh rate.

Related calculations

Method: FPS — FPSHQ unified model (real measurements + regression), CPU limit — by CPU gaming score, resolution — by GPU class. methodology