AMD Radeon RX 9070 16GB
Overview
The Radeon RX 9070 is the cut-down sibling of the RX 9070 XT, built on the same die with 56 of its 64 compute units enabled and a lower 2520 MHz boost clock. It keeps the full 16 GB of GDDR6 and the full 640 GB/s of memory bandwidth, which matters more than shader count for inference work that is memory bound, and it does so at 220 W rather than 304 W. Dense FP8 is 289 TFLOPS and dense FP16 matrix is 145 TFLOPS, both roughly a quarter below the XT. If you are buying for local model work rather than gaming, the RX 9070 is the more efficient of the pair; if you are buying for throughput, the XT is 26 percent faster for 38 percent more power.
Performance
Peak theoretical throughput by precision type
| Precision | Dense | 2:4 Sparse |
|---|---|---|
FP64 | No verified data available | Structured sparsity is a tensor-core feature; this vector precision has no sparse form |
FP32 32-bit floating point | 36TFLOPS | Structured sparsity is a tensor-core feature; this vector precision has no sparse form |
TF32 | No verified data available | The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision |
BF16 | No verified data available | The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision |
FP16 16-bit floating point | 145TFLOPS | 289TFLOPS |
FP8 8-bit floating point | 289TFLOPS | 578TFLOPS |
FP6 | No verified data available | The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision |
FP4 | No verified data available | The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision |
INT8 8-bit integer | 289TOPS | 578TOPS |
INT4 4-bit integer | 578TOPS | 1,156TOPS |
Per watt divides the dense figure by the 220 W board power. Where only a sparse figure exists, the cell says so.
The Radeon RX 9070 16GB in the GPU landscape
Peak FP16 TFLOPS (dense) against TDP, single-GPU parts tracked by Flopper
Higher and further left is better: more half-precision throughput for less power.
Specifications
Architecture
RDNA 4
Form Factor
PCIe
Launch Year
2025
Process Node
No verified data available
Memory
16 GB GDDR6
Bandwidth
640 GB/s
TDP
220 W
Max Power
220 W
Transistors
53.9 billion
Stream Processors
3,584
Spec Confidence
Official
Full Specifications
| Compute Engine | |
|---|---|
| Stream Processors | 3,584 |
| Tensor Cores | 112 (RDNA 4) |
| Compute Units | 56 |
| Boost Clock | 2.52 GHz |
| Chip Design | |
| Transistors | 53.9 billion |
| Memory | |
| VRAM | 16 GB |
| Memory Type | GDDR6 |
| Bandwidth | 640 GB/s |
| Interface Width | 256-bit |
| Memory Clock | 20 GT/s |
| Interconnect & I/O | |
| PCIe | Gen 5 x16 |
| Cache | |
| Infinity Cache | 64 MB |
| Power & Thermal | |
| TDP | 220 W |
| Max Board Power | 220 W |
| Power Connector | 2x8-Pin |
| Enterprise Features | |
| Sparsity | Yes |
| General | |
| Form Factor | PCIe |
| Architecture | RDNA 4 |
| Process Node | No verified data available |
| Launch Year | 2025 |
Datasheet & Resources
Flopper Datasheet
AMD Radeon RX 9070 16GB specifications, generated from our database. Printable.
Vendor product page
AMD documentation for the Radeon RX 9070 16GB
AMD Radeon RX 9070 Product Specifications
AMD · 2025-02-28
AMD Instinct Documentation
ROCm guides, architecture details
Data Provenance
Every figure traced to a source
Primary Source
- Publisher
- AMD
- Published
- 2025-02-28
Data Quality
- Spec confidence
- Official
- Clock basis
- Boost
- Core precisions with figures
- 4 of 9
- Normalization
- All values in TFLOPS
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Frequently Asked Questions
How many TFLOPS does the AMD Radeon RX 9070 have?
The AMD Radeon RX 9070 delivers 36 TFLOPS FP32, 145 TFLOPS FP16 and 289 TFLOPS FP8 at peak.
What is the power consumption of the AMD Radeon RX 9070?
The AMD Radeon RX 9070 has a TDP (Thermal Design Power) rating of 220 watts.
How much memory does the AMD Radeon RX 9070 have?
The AMD Radeon RX 9070 is equipped with 16 GB of VRAM with 640 GB/s of memory bandwidth.
What architecture is the AMD Radeon RX 9070 based on?
The AMD Radeon RX 9070 is based on the RDNA 4 architecture, launched in 2025.
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