The GeForce GTX 1650 Ti Max-Q is at least 2x slower gaming GPU than the RTX 2000 Ada Generation. We cannot compare value as at least one GPU is out of stock.
Advantages of the GeForce GTX 1650 Ti Max-Q
- Consumes up to 29% less energy – 50 vs 70 Watts
Advantages of the RTX 2000 Ada Generation
- At least 2x faster GPU for gaming
- Up to 300% more VRAM memory – 16 vs 4 GB
GeForce GTX 1650 Ti Max-Q vs RTX 2000 Ada Generation
The GPU's performance in selected game and settings
GeForce GTX 1650 Ti Max-Q
Apr 2nd, 2020
Average FPS
64
66%
Min 1% FPS
29
56%
Price, €
Out of Stock
Value, €/FPS
Not Available
All items are out of stock.
RTX 2000 Ada Generation
Feb 12th, 2024
Average FPS
97
100%
Min 1% FPS
52
100%
Price, €
Out of Stock
Value, €/FPS
Not Available
All items are out of stock.
Synthetic Benchmarks
The GeForce GTX 1650 Ti Max-Q vs RTX 2000 Ada Generation in synthetic GPU benchmarks
Performance Specifications
The GeForce GTX 1650 Ti Max-Q vs RTX 2000 Ada Generation in core GPU performance specifications
GeForce GTX 1650 Ti Max-Q
Apr 2nd, 2020
Memory
4 GB
25%
Memory Bandwidth
160 GB/s
62%
Pixel Fillrate
38.4 GPixel/s
38%
Texture Fillrate
76.8 GTexel/s
41%
FP32
2.458 TFLOPS
20%
RTX 2000 Ada Generation
Feb 12th, 2024
Memory
16 GB
100%
Memory Bandwidth
256 GB/s
100%
Pixel Fillrate
102.2 GPixel/s
100%
Texture Fillrate
187.4 GTexel/s
100%
FP32
12 TFLOPS
100%
Specifications
Comparison of all specifications
GeForce GTX 1650 Ti Max-Q | SpecificationsComparison of all specifications | RTX 2000 Ada Generation |
|---|---|---|
| General | ||
| Apr 2nd, 2020 | Release Date | Feb 12th, 2024 |
| Not Available | MSRP | $649.00 |
| GeForce 16 Mobile | Generation | Workstation Ada (x000A) |
Laptop | Segment | Desktop |
50 W | Power Consumption | 70 W |
| Memory | ||
| 4 GB | Memory Size | 16 GB |
| GDDR6 | Memory Type | GDDR6 |
| 128-bit | Memory Bus | 128-bit |
| 160 GB/s | Bandwidth | 256 GB/s |
| Theoretical Performance | ||
| 38.4 GPixel/s | Pixel Fillrate | 102.2 GPixel/s |
| 76.8 GTexel/s | Texture Fillrate | 187.4 GTexel/s |
| 2.458 TFLOPS | FP32 | 12 TFLOPS |
