| There were many microcode versions and variants released over the years. IIRC one of the official figures was ~180k tri/sec. I could draw a ~167,600 tri opaque model with all features (shaded, lit by three directional lights plus an ambient one, textured, Z-buffered, anti-aliased, one cycle), plus some large debug overlays (anti-aliased wireframes for text, 3D axes, Blender-style grid, almost fullscreen transparent planes & 32-vert rings) at 2 FPS/~424 ms per frame at 640x476@32bpp, 3 FPS/~331ms at 320x240@32bpp, 3 FPS/~309ms at 320x240@16bpp. That'd be between around 400k to 540k tri/sec. Sounds weird, right ? But that's extrapolated straight from the CPU counter on real hardware and eyeballing, so it's hard to argue. I assume the bottleneck at that point is the RSP processing all the geometry, a lot of them will be backface culled, and because of the sheer density at such a low resolution, comparatively most of them will be drawn in no time by the RDP. Or, y'know, the bandwidth. Haven't measured, sorry. Performance depends on many variables, one of which is how the asset converter itself can optimise the draw calls. The one I used, a slight variant of objn64, prefers duplicating vertices just so it can fully load the cache in one DMA command (gSPVertex) while also maximising gSP2Triangle commands IIRC (check the source if curious). But there's no doubt many other ways of efficiently loading and drawing meshes, not to mention all the ways you could batch the scene graph for things more complex than a demo. Anyways, the particular result above was with the low-precision F3DEX2 microcode (gspF3DLX2_Rej_fifo), it doubles the vertex cache size in DMEM from 32 to 64 entries, but removes the clipping code: polygons too close to the camera get trivially rejected. The other side effect with objn64 is that the larger vertex cache massively reduces the memory footprint (far less duplication): might've shaved off like 1 MB off the 4 MB compiled data. Compared to the full precision F3DEX2, my comment said: `~1.25x faster. ~1.4x faster when maxing out the vertex cache.`. All the microcodes I used have a 16 KB FIFO command buffer held in RDRAM (as opposed to the RSP's DMEM for XBUS microcodes). It goes like this if memory serves right: 1. CPU starts RSP graphics task with a given microcode and display list to interpret from RAM 2. RSP DMAs display list from RAM to DMEM and interprets it 3. RSP generates RDP commands into a FIFO in either RDRAM or DMEM 4. When output command buffer is full, it waits for the RDP to be ready and then asks it to execute the command buffer 5. The RDP reads the 64-bit commands via either the RDRAM or the cross-bus which is the 128-bit internal bus connecting them together, so it avoids RDRAM bus contention. 6. Once the RDP is done, go to step 2/3. To quote the manual: > The size of the internal buffer used for passing RDP commands is smaller with the XBUS microcode than with the normal FIFO microcode (around 1 Kbyte). As a result, when large OBJECTS (that take time for RDP graphics processing) are continuously rendered, the internal buffer fills up and the RSP halts until the internal buffer becomes free again. This creates a bottleneck and can also slow RSP calculations. Additionally, audio processing by the RSP cannot proceed in parallel with the RDP's graphics processing. Nevertheless, because I/O to RDRAM is smaller than with FIFO (around 1/2), this might be an effective way to counteract CPU/RDP slowdowns caused by competition on the RDRAM bus. So when using the XBUS microcode, please test a variety of combinations. |
On the subject of XBUS vs FIFO, I trialled both in a demo I wrote with a variety of loads. Benchmarking revealed that over 3 minutes each method was under a second long or shorter. So in time messing with them I never found XBUS to help with contention. I'm sure in some specific application it might be a bit better than FIFO. By the way, I used a 64k FIFO size, which is huge. I don't know if that gave me better results.