The Arc A750 is a much faster gaming GPU than the Radeon Pro W5700, however, it's a worse value for money, as it's €143.26 more expensive!
Advantages of the Arc A750
- A much faster GPU for gaming
Advantages of the Radeon Pro W5700
- Up to 43% cheaper – €189.00 vs €332.26
- A better value for money for gaming
- Consumes up to 9% less energy – 205 vs 225 Watts
Arc A750 vs Radeon Pro W5700 for Gaming
The GPU's performance in selected game and settings
Buy on Amazon
€332.26
In Stock
Buy on Amazon
€254.37
In Stock
Buy on Amazon
€284.00
In Stock
Buy on Amazon
€262.52
In Stock
Buy on Amazon
€271.00
In Stock
Radeon Pro W5700
Nov 19th, 2019
Average FPS
98
80%
Min 1% FPS
54
76%
Price, €
€189
100%
Value, €/FPS
€1.92/FPS
100%
Arc A750 vs Radeon Pro W5700 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 A750 vs Radeon Pro W5700 in synthetic GPU benchmarks
Performance Specifications
The Arc A750 vs Radeon Pro W5700 in core GPU performance specifications
Arc A750
Oct 12th, 2022
Memory
8 GB
100%
Memory Bandwidth
512 GB/s
100%
Pixel Fillrate
268.8 GPixel/s
100%
Texture Fillrate
537.6 GTexel/s
100%
FP32
17.2 TFLOPS
100%
Radeon Pro W5700
Nov 19th, 2019
Memory
8 GB
100%
Memory Bandwidth
448 GB/s
88%
Pixel Fillrate
120.3 GPixel/s
45%
Texture Fillrate
270.7 GTexel/s
50%
FP32
8.663 TFLOPS
50%
Specifications
Comparison of all specifications
Arc A750 | SpecificationsComparison of all specifications | Radeon Pro W5700 |
|---|---|---|
| General | ||
Oct 12th, 2022 | Release Date | Nov 19th, 2019 |
$289.00 | MSRP | $799.00 |
| Alchemist | Generation | Radeon Pro Navi |
Desktop | Segment | Desktop |
| 225 W | Power Consumption | 205 W |
| Memory | ||
| 8 GB | Memory Size | 8 GB |
| GDDR6 | Memory Type | GDDR6 |
| 256-bit | Memory Bus | 256-bit |
512 GB/s | Bandwidth | 448 GB/s |
| Theoretical Performance | ||
268.8 GPixel/s | Pixel Fillrate | 120.3 GPixel/s |
537.6 GTexel/s | Texture Fillrate | 270.7 GTexel/s |
17.2 TFLOPS | FP32 | 8.663 TFLOPS |
