AMD Radeon AI PRO R9700 vs NVIDIA GeForce RTX 2070 SUPER Comparison

Head-to-Head Benchmarks

The head-to-head results are decisively lopsided, with the AMD Radeon AI PRO R9700 winning 9 of the 10 recorded comparisons. The single NVIDIA win, however, is a notable outlier that invites scrutiny. In the Geekbench Vulkan test, the NVIDIA GeForce RTX 2070 SUPER records a score of 90637 against the AMD card's 63550, a margin of 29.9% in NVIDIA's favor. This is the only benchmark where the older card leads, and the magnitude of that lead stands in sharp contrast to the rest of the data.

The largest AMD victory comes in the 3DMark Steel Nomad DX12 test, where the R9700 scores 7006 versus the RTX 2070 SUPER's 1651. That is a 324.3% advantage, meaning the AMD card delivers more than four times the performance in this modern DirectX 12 workload. Such a dramatic gap suggests the R9700 is operating in a different performance class entirely, not merely a generational step ahead.

Compute workloads show a similar story. In Geekbench OpenCL, the R9700 posts 118202 against 83358, a 41.8% lead. The PassMark GPU Compute test amplifies this further: 15300 versus 7557, a 102.5% advantage, meaning the AMD card is more than twice as fast in raw compute throughput. The R9700 also dominates in PassMark G3D, scoring 26979 against 18169, a 48.5% difference.

The legacy DirectX tests all favor AMD as well. PassMark DirectX 11 shows 272 versus 151, an 80.1% lead. DirectX 9 shows 363 versus 223, a 62.8% lead. Even DirectX 12, which might be expected to favor the newer architecture, shows 83 versus 67, a 23.9% advantage. The 2D test (PassMark G2D) also goes to AMD: 1236 versus 878, a 40.8% difference.

The average benchmark score for the R9700 is 23315, placing it in the 69th percentile of all GPUs in the database. The RTX 2070 SUPER averages 20282, in the 65th percentile. While the percentile gap is modest, the raw score difference of 3033 points represents a 15% overall advantage for AMD. The nearest rivals for the R9700 are all within 0.3% of its average score: AMD Radeon R9 M290X at 23276, AMD Radeon RX 6600M at 23273, AMD Radeon Pro Vega 16 at 23250, and NVIDIA P106-100 at 23249. The RTX 2070 SUPER's nearest rivals cluster around 20480 to 20582, with the Quadro M4000M 1% lower, the RTX 3070 Mobile 1.2% lower, the Intel Arc B570 1.3% lower, and the Intel Arc A750 1.5% lower.

Architecture Differences

The two cards represent fundamentally different design philosophies separated by six years of silicon evolution. The AMD Radeon AI PRO R9700 uses the Navi 48 chip built on RDNA 4.0 architecture, fabricated on a 4 nm process at TSMC. The NVIDIA GeForce RTX 2070 SUPER uses the TU104 chip with Turing architecture, fabricated on a 12 nm process, also at TSMC. The process node difference is stark: 4 nm versus 12 nm, which directly impacts transistor density. The R9700 packs 53,900 million transistors into a 357 mm² die, yielding a density of 151.0 million transistors per square millimeter. The RTX 2070 SUPER contains 13,600 million transistors on a 545 mm² die, for a density of just 25.0 million per square millimeter. The AMD chip is physically smaller but holds nearly four times the transistor count.

Clock speeds reinforce the architectural gap. The R9700 has a base clock of 1660 MHz, a boost clock of 2920 MHz, and a game clock of 2350 MHz. The RTX 2070 SUPER runs at 1605 MHz base and 1770 MHz boost, with no recorded game clock. The AMD card's boost clock is 65% higher, a direct consequence of the more efficient 4 nm process allowing higher frequencies within the same power envelope.

The memory subsystems differ in capacity but match in bus width. Both use a 256-bit interface, but the R9700 carries 32 GB of GDDR6 memory with a bandwidth of 644.6 GB/s, while the RTX 2070 SUPER has 8 GB of GDDR6 with 448.0 GB/s bandwidth. The effective memory clock tells the story: 20.1 Gbps for AMD versus 14 Gbps for NVIDIA. The R9700 offers four times the capacity and 43.9% more bandwidth.

The compute unit counts show the scale of the difference. The R9700 has 4096 shading units, 256 texture mapping units, and 128 render output units. It also includes 64 ray tracing cores. The RTX 2070 SUPER has 2560 shading units, 160 TMUs, and 64 ROPs, with 40 ray tracing cores and 320 tensor cores. The AMD card has 60% more shaders, 60% more TMUs, and double the ROPs. The R9700's pixel rate is 373.8 GPixel/s versus 113.3 GPixel/s for NVIDIA, and its texture rate is 747.5 GTexel/s versus 283.2 GTexel/s. FP32 throughput is 47.84 TFLOPS for AMD versus 9.062 TFLOPS for NVIDIA, a 5.3x difference. The FP16 figures diverge in ratio: the R9700 achieves 47.84 TFLOPS (1:1 with FP32), while the RTX 2070 SUPER reaches 18.12 TFLOPS (2:1 ratio).

The interface and connectivity also differ. The R9700 uses PCIe 5.0 x16, while the RTX 2070 SUPER uses PCIe 3.0 x16. Display outputs favor AMD with 1x HDMI 2.1b and 3x DisplayPort 2.1a, versus NVIDIA's 1x HDMI 2.0, 3x DisplayPort 1.4a, and 1x USB Type-C. Both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. Power requirements reflect the performance gap: the R9700 has a 300 W TDP with a 700 W suggested PSU and a single 16-pin connector, while the RTX 2070 SUPER has a 215 W TDP with a 550 W suggested PSU and dual connectors (6-pin plus 8-pin). Both are dual-slot cards with identical 267 mm length, but the AMD card is shorter in height (111 mm versus 116 mm) and thicker (40 mm versus 35 mm).

Where Each One Wins

The data paints a clear picture of workload segmentation. The AMD Radeon AI PRO R9700 wins in every DirectX-related test, every compute test, and the 2D test. Its greatest advantages appear in modern workloads: the 324.3% lead in 3DMark Steel Nomad DX12 and the 102.5% lead in PassMark GPU Compute. These results indicate the R9700 is designed for current-generation rendering and heavy compute tasks, where its RDNA 4.0 architecture and massive shader count pay dividends. The 41.8% OpenCL lead reinforces its suitability for general-purpose compute, AI inference, and professional rendering workloads.

The NVIDIA GeForce RTX 2070 SUPER wins only in Geekbench Vulkan, with a 29.9% advantage. This single data point suggests that Vulkan-specific optimizations in the Turing architecture, or driver-level scheduling differences, allow the older card to outperform in this particular API path. The presence of 320 tensor cores on the NVIDIA card, absent on the AMD card, may contribute to this Vulkan result, though the benchmark's exact workload characteristics are not recorded in the database.

The use-case split follows the benchmark wins. For DirectX 12 gaming, the R9700 is the clear choice, given the 324.3% margin in Steel Nomad. For compute-heavy tasks like machine learning training, scientific simulation, or video encoding, the R9700's 102.5% lead in GPU Compute and 41.8% lead in OpenCL make it the superior option. The RTX 2070 SUPER's Vulkan win suggests that specific Vulkan-based applications, possibly certain game engines or emulators, might favor the older card. However, with only one win out of ten tests, the evidence for NVIDIA's card being preferable in any broad category is thin.

The PassMark DirectX 9 and DirectX 10 results are interesting. The R9700 leads by 62.8% in DX9 and 17.4% in DX10, showing that even legacy API paths benefit from the newer architecture. The smaller DX10 margin compared to DX9 suggests that the RDNA 4.0 driver stack handles older APIs with varying efficiency, but the R9700 still wins decisively.

The Verdict

The recorded data makes the choice straightforward for most workloads. The AMD Radeon AI PRO R9700 outperforms the NVIDIA GeForce RTX 2070 SUPER in 9 of 10 benchmarks, with average score superiority of 15% (23315 versus 20282). The R9700's advantages are most pronounced in modern DirectX 12 rendering (324.3% lead), compute throughput (102.5% lead), and overall 3D performance (48.5% lead in G3D). It also offers 32 GB of memory versus 8 GB, a 4 nm process versus 12 nm, and a 2920 MHz boost clock versus 1770 MHz.

The RTX 2070 SUPER's sole win in Geekbench Vulkan, with its 29.9% margin, is the only quantitative reason to consider the older card. For users running Vulkan-specific applications where that API path is critical, the data shows the NVIDIA card holds a measurable edge. But the R9700 wins the Vulkan comparison in the broader context of the database: its 63550 Vulkan score still places it in a competitive range, and its overall benchmark average is far higher.

For gaming, content creation, compute, or professional workloads under DirectX or OpenCL, the R9700 is the clear choice based on the recorded results. The RTX 2070 SUPER, now end-of-life with a successor in the GeForce 30 series, appears to have been surpassed by AMD's newer architecture across nearly every measurable dimension. Users with an RTX 2070 SUPER should expect a significant upgrade if moving to the R9700, particularly in compute-heavy tasks where the performance doubles.

FAQ

Q: Which card wins more benchmarks in the database?

A: The AMD Radeon AI PRO R9700 wins 9 out of 10 head-to-head benchmark comparisons against the NVIDIA GeForce RTX 2070 SUPER.

Q: What is the largest single benchmark advantage recorded?

A: The 3DMark Steel Nomad DX12 test shows the R9700 scoring 7006 against the RTX 2070 SUPER's 1651, a 324.3% advantage for AMD.

Q: Does the NVIDIA card win any benchmark?

A: Yes, the Geekbench Vulkan test favors NVIDIA, with the RTX 2070 SUPER scoring 90637 versus the R9700's 63550, a 29.9% lead.

Q: How do the memory capacities compare?

A: The R9700 has 32 GB of GDDR6 memory, while the RTX 2070 SUPER has 8 GB. Both use a 256-bit bus, but the R9700's bandwidth is 644.6 GB/s versus 448.0 GB/s.

Q: What is the average benchmark score difference?

A: The R9700 averages 23315 across all recorded benchmarks, while the RTX 2070 SUPER averages 20282, a difference of 3033 points or approximately 15%.

Q: Which card has the higher boost clock?

A: The R9700 boosts to 2920 MHz, while the RTX 2070 SUPER boosts to 1770 MHz, a difference of 1150 MHz.

Specification Differences

| Specification | AMD Radeon AI PRO R9700 | NVIDIA GeForce RTX 2070 SUPER |

|---|---|---|

| Architecture | RDNA 4.0 | Turing |

| Process Node | 4 nm | 12 nm |

| Transistors | 53,900 million | 13,600 million |

| Die Size | 357 mm² | 545 mm² |

| Transistor Density | 151.0M / mm² | 25.0M / mm² |

| Base Clock | 1660 MHz | 1605 MHz |

| Boost Clock | 2920 MHz | 1770 MHz |

| Memory Clock | 2518 MHz (20.1 Gbps effective) | 1750 MHz (14 Gbps effective) |

| Memory Size | 32 GB | 8 GB |

| Memory Bandwidth | 644.6 GB/s | 448.0 GB/s |

| Shading Units | 4096 | 2560 |

| TMUs | 256 | 160 |

| ROPs | 128 | 64 |

| Ray Tracing Cores | 64 | 40 |

| Tensor Cores | Not applicable | 320 |

| Pixel Rate | 373.8 GPixel/s | 113.3 GPixel/s |

| Texture Rate | 747.5 GTexel/s | 283.2 GTexel/s |

| FP32 Performance | 47.84 TFLOPS | 9.062 TFLOPS |

| FP16 Performance | 47.84 TFLOPS (1:1) | 18.12 TFLOPS (2:1) |

| TDP | 300 W | 215 W |

| Power Connectors | 1x 16-pin | 1x 6-pin + 1x 8-pin |

| Suggested PSU | 700 W | 550 W |

| Bus Interface | PCIe 5.0 x16 | PCIe 3.0 x16 |

| Display Outputs | 1x HDMI 2.1b, 3x DisplayPort 2.1a | 1x HDMI 2.0, 3x DisplayPort 1.4a, 1x USB Type-C |

| Height | 111 mm (4.4 inches) | 116 mm (4.6 inches) |

| Width | 40 mm (1.6 inches) | 35 mm (1.4 inches) |

| Production Status | Active | End-of-life |

| Release Date | 2025-07-22 | 2019-07-08 |

| Predecessor | Radeon Pro Vega | GeForce 10 |

| Successor | Not applicable | GeForce 30 |