The Arc A350M is at least 2x slower gaming GPU than the GeForce GTX 1660 SUPER. We cannot compare value as at least one GPU is out of stock.
Advantages of the Arc A350M
- Consumes up to 80% less energy – 25 vs 125 Watts
Advantages of the GeForce GTX 1660 SUPER
- At least 2x faster GPU for gaming
- Up to 50% more VRAM memory – 6 vs 4 GB
Arc A350M vs GeForce GTX 1660 SUPER for Gaming
The GPU's performance in selected game and settings
All items are out of stock.
GeForce GTX 1660 SUPER
Oct 29th, 2019
Average FPS
81
100%
Min 1% FPS
43
100%
Price, $
$179.99
100%
Value, $/FPS
$2.22/FPS
100%
Buy on Amazon
$179.99
In Stock
Buy on Amazon
$189.99
In Stock
Buy on Amazon
$269.00
In Stock
Arc A350M vs GeForce GTX 1660 SUPER in My Games
The FPS you'll get in saved games, click on a game to change it
The FPS you'll get in saved games, click on a game to change it
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Synthetic Benchmarks
The Arc A350M vs GeForce GTX 1660 SUPER in synthetic GPU benchmarks
Performance Specifications
The Arc A350M vs GeForce GTX 1660 SUPER in core GPU performance specifications
Arc A350M
Mar 30th, 2022
Memory
4 GB
67%
Memory Bandwidth
112 GB/s
33%
Pixel Fillrate
52.8 GPixel/s
62%
Texture Fillrate
105.6 GTexel/s
67%
FP32
3.379 TFLOPS
67%
GeForce GTX 1660 SUPER
Oct 29th, 2019
Memory
6 GB
100%
Memory Bandwidth
336 GB/s
100%
Pixel Fillrate
85.68 GPixel/s
100%
Texture Fillrate
157.1 GTexel/s
100%
FP32
5.027 TFLOPS
100%
Specifications
Comparison of all specifications
Arc A350M | SpecificationsComparison of all specifications | GeForce GTX 1660 SUPER |
|---|---|---|
| General | ||
Mar 30th, 2022 | Release Date | Oct 29th, 2019 |
| Not Available | MSRP | $229.00 |
| Alchemist | Generation | GeForce 16 |
Laptop | Segment | Desktop |
25 W | Power Consumption | 125 W |
| Memory | ||
| 4 GB | Memory Size | 6 GB |
| GDDR6 | Memory Type | GDDR6 |
| 64-bit | Memory Bus | 192-bit |
| 112 GB/s | Bandwidth | 336 GB/s |
| Theoretical Performance | ||
| 52.8 GPixel/s | Pixel Fillrate | 85.68 GPixel/s |
| 105.6 GTexel/s | Texture Fillrate | 157.1 GTexel/s |
| 3.379 TFLOPS | FP32 | 5.027 TFLOPS |
