GPUs Hardware Reviews

Unjustly misunderstood: PNY GTX 1650 XLR8 OC in review – pure use without external supply connection

It is still incomprehensible to me why at the launch of the GeForce GTX 1650 almost exclusively models with external power supply were offered for testing. The cards, which in my view are much more interesting, are exactly the cards without external supply. If an almost tiny card comes out, it is all the more interesting for upstarts in the entry-level segment.

It is still incomprehensible to me why at the launch of the GeForce GTX 1650 almost exclusively models with external power supply were offered for testing. The cards, which in my view are much more interesting, are exactly the cards without external supply. If an almost tiny card comes out, it is all the more interesting for upstarts in the entry-level segment. Even if we are in the entry-level area here, such a test is more worthwhile than one of the 1001. Bling bling gamer kiddie version.

The only 240 grams light card measures in its length 14.3 cm gross from the outer edge slot panel to the end of the radiator cover. It is as 3 cm thick and only 9.5 cm high (from the top of the motherboard slot to the top edge of the radiator cover). The black radiator cover is kept in the usual XLR8 style and rather inconspicuous. The customer has to do without RGB completely, but this is to be hurt. Only one digital DVI and ONE HDMI 2.0 port are available as connectors.

The small 6.5 cm fan with the 11 rotor blades is almost lost on this card. It is not PWM-controlled, so I had to log the speeds of the 2-pin fan with the laser. Of course, there is no longer a backplate in this price range. With a little less than 150 Euros, the card is certainly the better GeForce GTX 1050 Ti, because it is also sometimes much faster. It’s the typical cost-down model, but even that can have its charm when you need just that.

The TU117-300 is not a real full-end

Well, let’s see what PNY and Nvidia offer us here. While Turing’s streaming multiprocessors consist of fewer CUDA cores than Pascal’s, the design compensates for this in part by distributing more streaming multiprocessors (SM) on the GPU. The Turing architecture assigns each set of 16 CUDA cores, one scheduler, and one disposition unit per 16 CUDA cores (such as Pascal).

Four of these 16-core groupings include the SM, 96 KB cache, which can be configured as 64 KB L1/32 KB of shared memory, or vice versa, and four texture units. As a result, the TU117-300 of the GeForce GTX 1650 with its 896 CUDA cores has such 14 SM. If you followed Nvidia’s nomenclature for the chip designation, a larger TU117-400 would only be logical.

But the theory also confirms the fact that the TU117-300 is not the maximum expansion. I have modified and shortened a scheme of the TU116-300 of the GeForce GTX 1660 to fit exactly for the TU117-300 of the GeForce GTX 1650. We see very nicely the gaps in the two GPC, so that the TU117-400, if it will exist, could appear with 16 SM, which should also run out as a result of 1024 CUDA-Cores. Unfortunately, Nvidia does not reveal whether this could be a GeForce GTX 1650 (“We generally don’t talk about unannounced products”).

Because Turing has twice as many schedulers as Pascal, only one statement needs to be issued to the CUDA cores in every second cycle. In between, there is enough room to send a different instruction to any other device, including the INT32 cores. This is no different with the GTX 1650 than with the other larger Turing cards. Nvidia splits these 14 SM into two graphics processing clusters. In addition, 14 SMs, each with four associated texture units, total56 texture units for the entire GPU.

In addition to the Shaders and the Unified Cache of the Turing Architecture, the TU117 also supports a pair of algorithms called Content Adaptive Shading and Motion Adaptive Shading, which together are called variable-rate shading. I have already written a longer introduction to the launch of the GeForce RTX 2080 (Ti). Nvidia has also revealed that it is replacing the tensor cores with dedicated FP16 cores to enable the GeForce GTX 1660 Ti to process semi-precision operations at twice the rate of FP32. Nvidia has also noted that the TU117 is the smallest Turing chip that will be able to use the DXR share in the drivers.

Four 32-bit memory controllers end up giving the TU117 an aggregated 128-bit bus that operates the four GDDR5 modules at up to 128 GB/s. However, this is a considerable bandwidth disadvantage compared to the GTX 1660 and is even lower than the level of the old GeForce GTX 1060, but also significantly higher than that of the GeForce GTX 1050 Ti.

The following table shows the relevant models and a fictitious GeForce GTX 1650 Ti:

GeForce GTX 1060
GeForce GTX 1660 Ti 6 GB
GeForce GTX 1660 6 GB
GeForce GTX 1650
GeForce GTX 1650
GeForce GTX 1650 Ti
Architecture (GPU)
GP106 TU116-400 TU116-300 TU-117-300 TU-117-300 TU117-400
CUDA Cores
1280 1536* 1280* 896 896 1024
Tensor Cores
No No No No No No
RT Cores
No No No No No No
Texture Units
180 96 80 56 56 64
Base Clock Rate
1506 MHz 1500 MHz 1530 MHz 1485 MHz 1485 ?
GPU Boost Rate
1708 MHz 1770 MHz 1785 MHZ 1665 MHz 1725 ?
Storage expansion
Storage bus
192-bit 192-bit 192-bit 128-bit 128-bit 128-bit
Memory clock
4000 MHz 6000 MHz 4000 MHz 4000 MHz 4000 MHz
4000 MHz
48 48 48 32 32 32
L2 Cache
1.5 MB 1.5 MB 1.5 MB 1 MB 1 MB 1 MB
Board design   PG161 PG165 PG174 Custom PG174
120 W 120 W 120 W 75 W 75 W ?
4.4 billion 6.6 billion 6.6 billion 4.7 billion 4.7 billion 4.7 billion
No No No No No No

Test system and measurement methods

I have already described the new test system and the methodology in the basic article “How we test graphics cards, as of February 2017″ (English: “How We Test Graphics Cards”) in great detail and therefore, for the sake of simplicity, now only refers to this detailed Description. So if you want to read everything again, you are welcome to do so.

If you are interested, the summary in table form quickly provides a brief overview:

Test systems and measuring rooms
Intel Core i7-7700K (analogous to TH US)
MSI Z270 Gaming Pro Carbon AC
16GB KFA2 DDR4 4000 Hall Of Fame @DDR4 3200
1x 1 TByte Toshiba OCZ RD400 (M.2, System SSD)
2x 960 GByte Toshiba OCZ TR150 (Storage, Images)
Be Quiet Dark Power Pro 11, 850-watt power supply
Alphacool Ice Block XPX
5x Be Quiet! Silent Wings 3 PWM (Closed Case Simulation)
Thermal Grizzly Kryonaut (for cooler change)
Lian Li PC-T70 with expansion kit and modifications
Modes: Open Benchtable, Closed Case
Monitor: Eizo EV3237-BK
Power consumption:
non-contact DC measurement on the PCIe slot (Riser-Card)
non-contact DC measurement on the external PCIe power supply
Direct voltage measurement on the respective feeders and on the power supply
2x Rohde & Schwarz HMO 3054, 500 MHz multi-channel oscillograph with memory function
4x Rohde & Schwarz HZO50, current togor adapter (1 mA to 30 A, 100 KHz, DC)
4x Rohde & Schwarz HZ355, touch divider (10:1, 500 MHz)
1x Rohde & Schwarz HMC 8012, digital multimeter with storage function
Optris PI640, infrared camera
PI Connect evaluation software with profiles
NTI Audio M2211 (with calibration file)
Steinberg UR12 (with phantom power for the microphones)
Creative X7, Smaart v.7
own low-reflection measuring room, 3.5 x 1.8 x 2.2 m (LxTxH)
Axial measurements, perpendicular to the center of the sound source(s), measuring distance 50 cm
Noise in dBA (Slow) as RTA measurement
Frequency spectrum as a graph
Operating system Windows 10 Pro (1809, all updates)

Danke für die Spende

Du fandest, der Beitrag war interessant und möchtest uns unterstützen? Klasse!

Hier erfährst Du, wie: Hier spenden.

Hier kannst Du per PayPal spenden.

About the author

Igor Wallossek

Editor-in-chief and name-giver of igor'sLAB as the content successor of Tom's Hardware Germany, whose license was returned in June 2019 in order to better meet the qualitative demands of web content and challenges of new media such as YouTube with its own channel.

Computer nerd since 1983, audio freak since 1979 and pretty much open to anything with a plug or battery for over 50 years.

Follow Igor:
YouTube Facebook Instagram Twitter