Jump to content

Template:AMD Radeon RX 9000

From Wikipedia, the free encyclopedia
Model
(Code name)
Release Date
& Price
Architecture
fab
Transistors
& die size
Core Fillrate[i][ii][iii] Processing power Infinity Cache Memory TBP Bus
interface
TFLOPS[i][iv] AI TOPS[v]
Config[vi] Clock[i]
(MHz)
Texture
(GT/s)
Pixel
(GP/s)
Half[vii] Single Double INT8 INT4 Size Bandwidth
(GB/s)
Size Bandwidth
(GB/s)
Bus type
& width
Clock
(MT/s)

Radeon RX 9060 XT
(Navi 44)[1][2]
Jun 5, 2025
$299 USD (8 GB)
$349 USD (16 GB)
RDNA 4
TSMC N4P
29.7 billion
199 mm2
2048:128:64:32:64
32 CU
2530
3130
323.8
400.6
161.9
200.3
41.45
51.28
20.72
25.64
0.323
0.400
166
205
331
410
32 MB 8 GB
16 GB
320 GDDR6
128-bit
20000 150 W
160 W
PCIe 5.0
×16
Radeon RX 9070 GRE
(Navi 48)[3]
May, 2025
¥4119 RMB
53.9 billion
356.5 mm2
3072:192:96:48:96
48 CU
2200
2790
422.4
535.7
211.2
267.8
54.07
68.57
27.03
34.28
0.422
0.535
216
274
432
548
48 MB 12 GB 432 GDDR6
192-bit
18000 220 W
Radeon RX 9070
(Navi 48)[4]
Mar 6, 2025
$549 USD
3584:224:128:56:112
56 CU
2070
2520
463.6
564.4
265.0
322.6
59.35
72.25
29.67
36.12
0.463
0.564
237
289
475
578
64 MB 16 GB 640 GDDR6
256-bit
20000
Radeon RX 9070 XT
(Navi 48)[5]
Mar 6, 2025
$599 USD
4096:256:128:64:128
64 CU
2400
2970
614.4
760.3
307.2
380.2
78.64
97.32
39.32
48.66
0.614
0.760
314
389
629
778
304 W
  1. ^ a b c Boost values (if available) are stated below the base value in italic.
  2. ^ Texture fillrate is calculated as the number of Texture Mapping Units multiplied by the base (or boost) core clock speed.
  3. ^ Pixel fillrate is calculated as the number of Render Output Units multiplied by the base (or boost) core clock speed.
  4. ^ Precision performance is calculated from the base (or boost) core clock speed based on a FMA operation.
  5. ^ Officially declared performance is twice the one shown here due to the use of sparsity.
  6. ^ Unified shaders : Texture mapping units : Render output units : Ray accelerators : AI accelerators and Compute Units (CU)
  7. ^ Officially declared half-precision performance is twice of the one shown here due to being based on different operation (a×b+c×d+e).