FitMyLLM
ARM· IMMORTALIS GEN5

ARM Immortalis-G925 MC12

Running LLMs on the ARM Immortalis-G925 MC12 — the long read: which models fit at which quantisation, and the settings worth changing. · Or what a budget buys

VRAM
16 GB
MID-RANGE
BANDWIDTH
68
GB/S
MODELS Q4
262/449
58%
7B Q4 SPEED
~9
USABLE
▸ MODEL COVERAGE @ Q458% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

Average speeds at Q4 quantization. Actual performance varies by model architecture and context length.

3B
~20
TOK/S
7B
~9
TOK/S
14B
~4
TOK/S
32B
18.0GB NEEDED
70B
39.4GB NEEDED
▸ MEASURED RIG REPORTS

We rent the machine and time every model on it: decode, VRAM peak, concurrency, watts and cost per million tokens. Yours may already be one of them — and two are free to read in full.

SEE THE REPORTS
▸ SPECIFICATIONS
VRAM
16 GB
BANDWIDTH
68 GB/s
FP16 COMPUTE
3.5 TFLOPS
TDP
10W
MEMORY
Shared
ARCHITECTURE
Immortalis Gen5
57
FAST MODELS · >30 TOK/S
Real-time chat speed
119
USABLE · >10 TOK/S
Comfortable for all tasks
262
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ DON’T WANT TO BUY?

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▸ COMPATIBLE MODELS· 262
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
672
TOK/S · 3% VRAM
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
448
TOK/S · 4% VRAM
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
432
TOK/S · 4% VRAM
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
432
TOK/S · 4% VRAM
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
236
TOK/S · 4% VRAM
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
224
TOK/S · 4% VRAM
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
198
TOK/S · 4% VRAM
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
180
TOK/S · 4% VRAM
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
180
TOK/S · 4% VRAM
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
180
TOK/S · 4% VRAM
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
173
TOK/S · 4% VRAM
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
168
TOK/S · 4% VRAM
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
159
TOK/S · 5% VRAM
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
121
TOK/S · 5% VRAM
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
121
TOK/S · 5% VRAM
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
116
TOK/S · 5% VRAM
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
106
TOK/S · 5% VRAM
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
106
TOK/S · 5% VRAM
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
101
TOK/S · 5% VRAM
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
101
TOK/S · 5% VRAM
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
101
TOK/S · 5% VRAM
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
97
TOK/S · 5% VRAM
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
82
TOK/S · 6% VRAM
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
81
TOK/S · 6% VRAM
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
75
TOK/S · 6% VRAM
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
69
TOK/S · 6% VRAM
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
64
TOK/S · 7% VRAM
A
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
56
TOK/S · 7% VRAM
A
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
55
TOK/S · 7% VRAM
A
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
50
TOK/S · 8% VRAM
A
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
50
TOK/S · 8% VRAM
A
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
50
TOK/S · 8% VRAM
A
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
50
TOK/S · 8% VRAM
A
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
46
TOK/S · 8% VRAM
A
OPT 1.3B1.3B
OPT·2K CTX· CHAT
46
TOK/S · 8% VRAM
A
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
46
TOK/S · 8% VRAM
A
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
45
TOK/S · 8% VRAM
A
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
43
TOK/S · 8% VRAM
A
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
43
TOK/S · 8% VRAM
A
LFM2 8B A1B8.3BMoE
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
40
TOK/S · 35% VRAM
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your ARM Immortalis-G925 MC12.

WHAT THIS CARD IS WORTH

ARM Immortalis-G925 MC12 holds 262 of the models in our catalogue and is, in practice, a IQ4_XS card — the largest it takes is ERNIE 4.5 21B A3B at IQ4_XS.

TOKENS/SEC PER $100
8B at Q4_K_M, so cards compare like for like
VRAM PER $100
what memory costs on this card
THE BIGGEST IT TAKES
ERNIE 4.5 21B A3B21.95B · IQ4_XS13.9 GB30 tok/sEST
GPT-OSS 20B21B · Q4_K_S13.8 GB24 tok/sEST
Reka Flash 321B · Q4_K_S14.2 GB4 tok/sEST
Reka Flash 3.121B · Q4_K_S14.2 GB4 tok/sEST
InternLM2 20B19.8B · Q4_K_M14.3 GB4 tok/sEST
InternLM2.5 20B19.8B · Q4_K_M14.3 GB4 tok/sEST
Ling-lite 16.8B16.8B · Q5_K_M13.6 GB30 tok/sEST
DeepSeek V2 Lite 16B16B · Q5_K_M12.9 GB30 tok/sEST
AGAINST CARDS OF SIMILAR MEMORY
M1 Max (32GB)21 GB$1,4993.0 tok/s per $100
M2 Max (32GB)21 GB$1,7992.5 tok/s per $100
M2 Pro (32GB)21 GB$1,4991.9 tok/s per $100
M4 (32GB)21 GB$1,1991.7 tok/s per $100
ARM Immortalis-G925 MC1216 GB

Neighbours in memory rather than in price: memory decides whether a card can do the job at all, so two cards of the same size at different prices is the comparison you are making. Ordered by memory, then bandwidth — not by the value column, which is worked out from bandwidth and price alone and therefore rewards a cheap card whatever its software stack does to that bandwidth in practice. Read it as one input, not as a ranking.

▸ DEVICE UNDER TEST

ARM Immortalis-G925 MC12 — 16 GB VRAM.

ARM IMMORTALIS-G925 MC12 SPEC
BRAND
Apple
VRAM
16 GB Shared
BANDWIDTH
68 GB/s
FP16 COMPUTE
3.5 TFLOPS
TDP
10 W
ARCHITECTURE
Immortalis Gen5
▸ AI CAPABILITY
262/ 449 models @ Q4

With 16 GB VRAM and 68 GB/s bandwidth, this GPU handles models up to 19.8B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~8 tok/s.

RENT IT — LIVE PRICES
Checking what the clouds are charging…
§ 01TOP MODELS FOR ARM IMMORTALIS-G925 MC12
262 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
InternLM2 20B19.8B12.6 GB345.1
InternLM2.5 20B19.8B12.6 GB350.9
Ling-lite 16.8B16.8B10.8 GB25
DeepSeek V2 Lite 16B16B10.3 GB2538.0
StarCoder2 15B15.96B10.2 GB426.5
DeepSeek-Coder-V2-Lite 15.7B15.7B10.1 GB2543.0
DeepSeek-VL2 Small 16B15.7B10.1 GB2543.1
StarCoder 15B15.5B10.0 GB421.0
InternVL3 14B15.12B9.7 GB438.1
Phi-4-reasoning-vision 15B15B9.7 GB442.8
DeepSeek R1 Distill Qwen 14B14.8B9.5 GB443.9
DeepCoder 14B14.8B9.5 GB438.7
Qwen2.5-Coder-14B14.8B9.5 GB441.3
Qwen2.5-14B14.8B9.5 GB441.3
Qwen3 14B14.8B9.5 GB445.7
phi-4 14B14.66B9.4 GB433.7
Phi-4-reasoning 14B14.66B9.4 GB433.7
Phi-4-reasoning-plus 14B14.66B9.4 GB475.5
Ministral 3 14B14B9.0 GB425.9
Phi-3-medium-14b14B9.0 GB433.7