G.SKILL Trident Z5 Royal Series DDR5 RAM (Intel XMP 3.0) 32GB (2x16GB) 6400MT/s CL30-39-39-102 1.40V Desktop Computer Memory U-DIMM - Gold (F5-6400J3039G16GX2-TR5G)
Bottom line: The G.SKILL Trident Z5 Royal Series DDR5 RAM is a specs-and-price decision rather than a crowd-consensus one in the memory (ram) category. Check the specification table below against one or two close alternatives — on price and spec fit, not on star ratings.
As an Amazon Associate, SpecPicks earns from qualifying purchases. Full disclosure →
Pros & Cons
Pros
- ✓ G.SKILL Trident Z5 Royal Series DDR5 U-DIMM Memory Kit, Model: F5-6400J3039G16GX2-TR5G
- ✓ Backed by G.SKILL's warranty and support channels
Cons
- ✗ Confirm socket / form-factor / power-rating compatibility against your build before ordering
- ✗ Price, stock, shipping and returns are set by the retailer and may have changed since this page was last updated
SpecPicks Verdict
SpecPicks scored G.SKILL Trident Z5 Royal Series DDR5 RAM (Intel XMP 3.0) 32GB… using a rating × review-volume × price-fit model applied to published specs and reviews across the memory (ram) category. G.SKILL's memory (ram) lineup sits within the broader category mid-tier; price and specs are the deciding factors over brand loyalty here. Judge it on the specification table and the price rather than on sentiment: check the figures that decide your use case, then put it side-by-side with two or three close alternatives in the Compare tool before clicking through.
Common buyer scenarios for memory (ram) of this kind: matching it to an existing build, replacing a failing part, or upgrading from a previous-generation equivalent. Check the spec table below against your current setup — particularly socket / form-factor / power-rating fields — and confirm compatibility on the retailer's listing before purchase. Prices and stock are set by the retailer and may have moved since this page was last updated.
Key Features
- G.SKILL Trident Z5 Royal Series DDR5 U-DIMM Memory Kit, Model: F5-6400J3039G16GX2-TR5G
- 32GB total capacity kit containing 2x16GB modules, rated for up to DDR5-6400 CL30-39-39-102 at 1.40V
- Non-ECC, DDR5 U-DIMM, 288-pin, for Desktop PC & Gaming
- Includes JEDEC default profile, and Intel XMP 3.0 memory overclock profile
- Do not mix memory kits. Memory kits are sold in matched kits that are designed to run together as a set. Mixing memory kits will result in stability issues or system failure.
- For Intel Z890, Intel Z790, Intel Z690, Intel B860, Intel B760 platforms. Refer to G.SKILL memory QVL or RAM Configurator tool on the G.SKILL website for more details on validated motherboard and hardware.
Full Specifications
| Brand | G.SKILL |
|---|---|
| Weight | 5g |
| Voltage | 1.4 volts |
| RAM Size | 32 GB |
| Model Name | Trident Z5 Royal |
| Form Factor | DIMM |
| Memory Speed | 6400 mt_s |
| Model Number | F5-6400J3039G16GX2-TR5G |
| Compatibility | PC |
| Number of Pins | 288 |
| Memory Generation | DDR5 |
| Compatible Devices | Desktop |
| Data Transfer Rate | 6400 megabits_per_second |
| Memory Form Factor | DIMM, UDIMM |
| Additional Features | Intel XMP 3.0 |
| Computer Memory Size | 32 GB |
| Warranty Description | Limited Lifetime Manufacturer |
| RAM Memory Technology | DDR5 |
| Column Address Strobe Latency | CL30 |
Ready to buy?
G.SKILL Trident Z5 Royal Series DDR5 RAM (Intel XMP 3.0) 32GB (2x16GB) 6400MT/s CL30-39-39-102 1.40V Desktop Computer Memory U-DIMM - Gold (F5-6400J3039G16GX2-TR5G) is listed on Amazon. Price, availability, shipping and returns are set by Amazon and its sellers — check the listing for current terms. SpecPicks earns a small commission on qualifying purchases — thank you for supporting independent review work.
Related Memory (RAM)
More guides & deep dives from the SpecPicks archive
Browse all articles & guides →- Best Retro Handhelds in 2026 — From $35 to $500
- How to Build a Windows 98 Retro PC in 2026
- RTX 4070 Super vs RX 7800 XT — Which to Buy in 2026
- Best 1440p Gaming GPUs in 2026
- The Complete Voodoo5 5500 AGP Driver Guide (2026 Edition)
- Emulation Hardware in 2026: FPGA, Software, and Cart-Reader Ecosystems
- Best Budget Gaming PC Build 2026 — ~$1,000 ($800 on Sale)
More reviews from the SpecPicks archive
Browse all reviews →- Qwen 3.8 Open Weights on a 12 GB RTX 3060: What Actually Fits
- The Sound Blaster Monopoly: How Creative Still Shapes Retro PC Audio in 2026
- Active Quake 3 and OpenArena Servers in 2026: How to Find, Join, and Host
- Best GPU for Qwen 3 14B (2026)
- Asus ROG Xreal R1: 240Hz AR gaming glasses land
- Best Budget SSD for Gaming and PC Upgrades in 2026
- CPU-Only LLM Inference on a Ryzen 7 5800X: When 32GB of RAM Beats a 12GB GPU
- Intel Arc Pro B60 Price: Is $999 Worth It in 2025?
- Best Bluetooth Controller for Switch and Retro Emulation on Steam Deck (2026)
- Best GPU for Local Llama 70B in 2026: RTX 3060 12GB Stack vs Single Workstation Card
- RTX 3060 12GB Showdown: ZOTAC Twin Edge vs MSI Ventus 2X (2026)
- Noctua NH-U12S vs MasterLiquid ML240L for a Ryzen 7 5800X
- Anthropic Raises $65B Series H Near a Trillion-Dollar Valuation: What It Means for Local-AI Builders
- 8BitDo Pro 2 vs GameSir G7 SE vs DualSense: Best Controller for Emulation
- LEGO Batman: Legacy of the Dark Knight Steam Deck FPS
- Ex-Sega Engineer Builds a 'Super-Realistic' CRT Emulator
- KDE KWin Gaming Patches 2026: Linux Latency vs Windows
- How to run Llama 3.1 70B on NVIDIA GeForce RTX 5090
- Hailo-10H AI Accelerator on Raspberry Pi 5: Real Tok/s for On-Device LLMs
- NVFP4 on RTX 50-Series: What llama.cpp's Native FP4 Support Means for Local Inference
- Raspberry Pi AI Kit 2025: Specs, Uses, and Limits
- Qwen 3.6 27B on a 12GB RTX 3060: Which Quant Actually Fits?
- Which LLMs Fit a 12GB RTX 3060? Per-Model VRAM Cheat Sheet (2026)
- Sound Blaster G6 on a Modern Retro Build: When a USB DAC Beats an AWE32
Earliest SpecPicks reviews
Browse full archive →- Best GPU for Llama 3.1 8B (2026)
- Best GPU for Qwen 3 14B (2026)
- Best GPU for Qwen 3 32B (2026)
- Best GPU for Llama 3.1 70B (2026)
- Best GPU for DeepSeek-R1 32B (2026)
- Best GPU for Llama 3.1 405B (2026)
- How to run Llama 3.1 8B on NVIDIA GeForce RTX 5090
- How to run Qwen 3 14B on NVIDIA GeForce RTX 5090
- How to run Qwen 3 32B on NVIDIA GeForce RTX 5090
- How to run Llama 3.1 70B on NVIDIA GeForce RTX 5090
- How to run DeepSeek-R1 32B on NVIDIA GeForce RTX 5090
- How to run Llama 3.1 8B on NVIDIA GeForce RTX 4090