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Template:AMD Radeon RX 7000M

From Wikipedia, the free encyclopedia
Model
(Code name)
Release
date
Architecture
fab
Chiplets Transistors
& die size
Core Fillrate[a][b][c] Processing power[a][d]
(TFLOPS)[e]
Infinity
Cache
Memory TDP Interface
Config[f] Clock[a]
(MHz)
Texture
(GT/s)
Pixel
(GP/s)
Half Single Double Size Bandwidth
(GB/s)
Bus type
& width
Clock
(MT/s)

Radeon RX 7600S
(Navi 33)[1]
Jan 4, 2023 RDNA 3
TSMC N6
Monolithic 13.3×109
204 mm2
1792:112:64:28:56
28 CU
1500
2200
168.0
246.4
96.00
140.8
21.50
31.54
10.75
15.77
0.336
0.493
32 MB 8 GB 256 GDDR6
128-bit
16000 75 W PCIe 4.0
×8
Radeon RX 7600M
(Navi 33)[2]
1500
2410
168.0
269.9
96.0
154.2
21.50
34.55
10.75
17.28
0.336
0.540
90 W
Radeon RX 7600M XT
(Navi 33)[3]
2048:128:64:32:64
32 CU
1500
2615
192.0
334.1
96.00
167.0
24.58
42.84
12.29
21.42
0.384
0.669
288 18000 120 W
Radeon RX 7700S
(Navi 33)[4]
1500
2500
192.0
320.0
96.0
160.0
24.58
40.96
12.29
20.48
0.384
0.640
100 W
Radeon RX 7800M
(Navi 33)[5]
Sep 11, 2024 28.1×109
346 mm2
3840:240:96:60:120

60 CU


2145

560.4
?
71.73

35.87

1.204
48 MB 12 GB 432 GDDR6

192-bit

180 W ?
Radeon RX 7900M
(Navi 31)[6]
Oct 19, 2023 RDNA 3
TSMC N5 (GCD)
TSMC N6 (MCD)
1 × GCD
4 × MCD
57.7×109
529 mm2
4608:288:192:72:144
72 CU
1825
2090
525.6
601.9
350.4
401.3
67.28
77.05
33.64
38.52
1.051
1.204
64 MB 16 GB 576 GDDR6
256-bit
PCIe 4.0
×16
  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. ^ GPUs based on RDNA 3 have dual-issue stream processors so that up to two shader instructions can be executed per clock cycle under certain parallelism conditions.
  6. ^ Unified shaders : Texture mapping units : Render output units : Ray accelerators : AI accelerators and Compute units (CU)