Orange Pi 5 Plus

Products · · Board

Orange Pi 5 Plus

Chip
Rockchip RK3588
Unified memory
4, 8, 16 or 32 GB
Released
2023

Product page (opens in a new tab) Full AI report

Configurations

Pick one to see which models it runs. More memory lets larger models fit; bandwidth sets how fast they answer.

Configuration Memory Usable for AI Bandwidth LLMs that run well Launch price
Rockchip RK3588 4.0 GB 2.8 GB 34 GB/s 115 of 622 —
Rockchip RK3588 8.0 GB 6.4 GB 34 GB/s 155 of 622 —
Rockchip RK3588 16.0 GB 13.6 GB 34 GB/s 184 of 622 —
Rockchip RK3588 32.0 GB 28.8 GB 34 GB/s 203 of 622 —

Specifications 4.0 GB configuration

MakerOrange Pi
TypeBoard
ChipRockchip RK3588 / RK3588S (4 GB)
Unified memory4.0 GB
Usable for AI models2.8 GB
Memory bandwidth34 GB/s
FP16 compute0.2 TFLOPS
NotesRK3588 with LPDDR4X. Orange Pi publishes no US list price; it sells through Amazon, AliExpress and distributors (the 32 GB version is $499 at OrangePi.net).
Product pagewww.orangepi.org (opens in a new tab)

Best LLMs for the Orange Pi 5 Plus 4.0 GB

Quality Model Quant Memory Speed Runs
53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. LFM3 1.7BLiquid AI Q4_K_M 2.0 GB 20.0 tok/s Runs well
57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM5 2BOpenBMB Q4_K_M 2.7 GB 13.7 tok/s Runs welltight fit
47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. LFM3-VL 2BLiquid AI Q4_K_M 2.1 GB 18.0 tok/s Runs well
39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. PaddleOCR-VL 1.6 0.9BBaidu Q4_K_M 1.6 GB 36.0 tok/s Runs great
39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-OCR 1.0 1.3BOpenBMB Q4_K_M 1.7 GB 26.6 tok/s Runs well
46Fair quality (C) · 46 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. Spark-X2.6 4BSparkLLM Q2_K 2.8 GB 13.8 tok/s Runs welltight fit
38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-V 4.7 1BOpenBMB Q4_K_M 1.9 GB 22.3 tok/s Runs well
30Basic quality (D) · 30 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. Unlimited OCR 2 (3B-A0.6B)Baidu Q2_K 2.7 GB 73.0 tok/s Runs welltight fit
38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. TeleOCRXingChen-AGI Q4_K_M 2.6 GB 24.3 tok/s Runs welltight fit
34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM5 1BOpenBMB Q4_K_M 1.7 GB 32.0 tok/s Runs great

Best Image models for the Orange Pi 5 Plus 4.0 GB

Quality Model Quant Memory Speed Runs
28Basic quality (D) · 28 of 100: how capable the model is at FP16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. SD TurboStability AI FP16 2.6 GB 12 s Runs welltight fit · encoder unloaded after use
42Fair quality (C) · 42 of 100: how capable the model is at FP16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. Realistic Vision V5.1SG161222 FP16 2.5 GB 3.1 min Very slowtight fit · encoder unloaded after use
40Fair quality (C) · 40 of 100: how capable the model is at FP16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. DreamShaper 8Lykon FP16 2.5 GB 3.1 min Very slowtight fit · encoder unloaded after use
30Basic quality (D) · 30 of 100: how capable the model is at FP16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. LCM DreamShaper v7Tsinghua (LCM) FP16 2.5 GB 38 s Runs welltight fit · encoder unloaded after use
50Fair quality (C) · 50 of 100: how capable the model is at FP16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. PixArt-Σ XL 1024PixArt FP16 2.3 GB 4.8 min Very slowCPU offload
35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. Stable Diffusion 1.5Stability AI / Runway FP16 2.5 GB 3.1 min Very slowtight fit · encoder unloaded after use

Best Video models for the Orange Pi 5 Plus 4.0 GB

Quality Model Quant Memory Speed Runs
35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 44/100 (quality, fit, speed and memory use) sets the ranking. AnimateDiff v3 (SD 1.5)Shanghai AI Lab FP16 2.6 GB 63.5 min Very slowtight fit · CPU offload

Best Decision models for the Orange Pi 5 Plus 4.0 GB

Quality Model Quant Memory Speed Runs
78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. OpenAI Privacy FilterOpenAI Q8_0 2.4 GB 120 ms Runs welltight fit
86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. Jina Reranker v3.5Jina AI Q8_0 1.7 GB 2.6 s Very slow
84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. Jina Reranker v3Jina AI Q8_0 1.7 GB 2.6 s Very slow
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. GLiNER2.5 DecideFastino Q8_0 1.2 GB 1.1 s Slow
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. FRIDA-DecisionsSber AI Q8_0 1.7 GB 1.9 s Very slow
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. Qwen3 Reranker 0.6BAlibaba Q8_0 1.7 GB 2.6 s Very slow
68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. Llama Prompt Guard 2 22MMeta Q8_0 0.7 GB 333 ms Runs well
81Great quality (A) · 81 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. mxbai-rerank-large v2Mixedbread Q6_K 2.1 GB 6.6 s Very slow

Other products with the Rockchip RK3588 / RK3588S (4 GB)

Spec sources

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.

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