Consumer GPUAMD

AMD Radeon RX 7600 8GB

Curated Aggregate·2024-09-222 workloads · 3 records
MyAI Rating7.9tok/s · Phi-3 Mini

VRAM

8 GB

TDP

165 W

MSRP

$269

Perf/W

0.17 tok/s/W

Cost/1K tok

$0.10/M

Tested

2024-09-22

Quick answer

How fast is AMD Radeon RX 7600 8GB for local AI workloads?

AMD Radeon RX 7600 8GB hits 88.0 tok/s on Phi-3 Mini, its strongest benchmarked workload (batch 1, 4096-token context, 8GB VRAM, 165W TDP). It has 3 records across 2 workloads in our database, with a MyAI Rating of 7.9/10. Llama 3 70B Q4 needs ~40GB VRAM, so check the VRAM column before assuming feasibility.

Source: MyAIHardware benchmark database (bench-x3-rx7600-phi3)As of 2024-08-06

Verdict

AMD Radeon RX 7600 8GB with 8GB VRAM at 165W TDP, scored across 2 workloads with 3 benchmark records.

Best workload

Phi-3 Mini

88 tok/s

Quantization

Q4_K_M

4K context · batch 1

LLM Inference Performance

0255075100Llama 38B Q4Phi-3 Mini

Benchmarks (2 workloads)

WorkloadScoreQuantContextσStatusTested
Llama 3 8B Q4

llm

28.0tok/sQ4_K_M2K, Curated Aggregate2024-09-22
Phi-3 Mini

llm

88.0tok/sQ4_K_M4K, Curated Aggregate2024-08-06

MyAI Score

Enthusiast
7.9/10

AMD Radeon RX 7600 8GB clears a 7.9/10 based on workload-normalized throughput, memory headroom, efficiency, value, trust, and coverage.

Throughput
267
Capability
109
Efficiency
50
Value
45
Trust
43
Coverage
15
Composite benchmark529 / 1000

Workload Fit

What models fit this 8GB card at different quantization levels.

Q4
Q8
FP16
7-8B
Excellent
Tight
Won't fit
13-14B
Tight
Won't fit
Won't fit
32B
Won't fit
Won't fit
Won't fit
70B
Won't fit
Won't fit
Won't fit
Top Benchmarks
Phi-3 Mini88 tok/s
Llama 3 8B Q428 tok/s

Source

Phi-3 Mini RDNA 3 entry.

View sourceHow we benchmark →

Public Trust Layer

Trust score

6/10

MyAI rating

7.9

Runs

1

Freshness

Stale

Source-linked row with explicit verification status.

Tested on 2024-08-06; 751 days old.

Open primary source

Best place to start

Where to buy

Search first

Retailer we'd check first

Amazon search

For mainstream AI hardware, Amazon usually updates street pricing, seller availability, and shipping speed faster than most comparison sites.

Search Amazon listings
  • +Use $269 as your price anchor unless the part is clearly supply-constrained or newly launched.
  • +Check the exact cooler, board partner, or memory configuration before buying. The silicon may match, but noise and thermals do not.
  • +If the Amazon price looks inflated, wait or compare against recent street pricing rather than paying a panic premium.

This is a fit-driven buy, not a hype buy. Price discipline matters more than launch excitement here.

Affiliate note: we do not have a device-level ASIN yet, so this opens tagged Amazon search results for the exact product name.