The Arc A350M is at least 2x slower gaming GPU than the GeForce RTX 4070 SUPER. We cannot compare value as at least one GPU is out of stock.
Advantages of the Arc A350M
- Consumes up to 89% less energy – 25 vs 220 Watts
Advantages of the GeForce RTX 4070 SUPER
- At least 2x faster GPU for gaming
- Up to 200% more VRAM memory – 12 vs 4 GB
Arc A350M vs GeForce RTX 4070 SUPER for Gaming
The GPU's performance in selected game and settings
All items are out of stock.
GeForce RTX 4070 SUPER
Jan 8th, 2024
Average FPS
167
100%
Min 1% FPS
103
100%
Price, €
€752.59
100%
Value, €/FPS
€4.5/FPS
100%
Buy on Amazon
€752.59
In Stock
Buy on Amazon
€723.54
In Stock
Buy on Amazon
€829.50
In Stock
Buy on Amazon
€1,004.18
In Stock
Buy on Amazon
€869.00
In Stock
Arc A350M vs GeForce RTX 4070 SUPER in My Games
The FPS you'll get in saved games
The FPS you'll get in saved games
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Synthetic Benchmarks
The Arc A350M vs GeForce RTX 4070 SUPER in synthetic GPU benchmarks
Performance Specifications
The Arc A350M vs GeForce RTX 4070 SUPER in core GPU performance specifications
Arc A350M
Mar 30th, 2022
Memory
4 GB
33%
Memory Bandwidth
112 GB/s
22%
Pixel Fillrate
52.8 GPixel/s
27%
Texture Fillrate
105.6 GTexel/s
19%
FP32
3.379 TFLOPS
10%
GeForce RTX 4070 SUPER
Jan 8th, 2024
Memory
12 GB
100%
Memory Bandwidth
504.2 GB/s
100%
Pixel Fillrate
198 GPixel/s
100%
Texture Fillrate
554.4 GTexel/s
100%
FP32
35.48 TFLOPS
100%
Specifications
Comparison of all specifications
Arc A350M | SpecificationsComparison of all specifications | GeForce RTX 4070 SUPER |
|---|---|---|
| General | ||
| Mar 30th, 2022 | Release Date | Jan 8th, 2024 |
| Not Available | MSRP | $599.00 |
| Alchemist | Generation | GeForce 40 |
Mobile | Segment | Desktop |
25 W | Power Consumption | 220 W |
| Memory | ||
| 4 GB | Memory Size | 12 GB |
| GDDR6 | Memory Type | GDDR6X |
| 64-bit | Memory Bus | 192-bit |
| 112 GB/s | Bandwidth | 504.2 GB/s |
| Theoretical Performance | ||
| 52.8 GPixel/s | Pixel Fillrate | 198 GPixel/s |
| 105.6 GTexel/s | Texture Fillrate | 554.4 GTexel/s |
| 3.379 TFLOPS | FP32 | 35.48 TFLOPS |
