FitMyLLM
ARM· BIFROST

ARM Mali-G76 MP12

Running LLMs on the ARM Mali-G76 MP12 — the long read: which models fit at which quantisation, and the settings worth changing. · Or what a budget buys

VRAM
6 GB
BUDGET
BANDWIDTH
29.8
GB/S
MODELS Q4
130/449
29%
7B Q4 SPEED
~4
SLOW
▸ MODEL COVERAGE @ Q429% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

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

3B
~9
TOK/S
7B
~4
TOK/S
14B
7.9GB NEEDED
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
6 GB
BANDWIDTH
29.8 GB/s
FP16 COMPUTE
0.4 TFLOPS
TDP
4W
MEMORY
ARCHITECTURE
Bifrost
26
FAST MODELS · >30 TOK/S
Real-time chat speed
72
USABLE · >10 TOK/S
Comfortable for all tasks
130
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ DON’T WANT TO BUY?

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▸ COMPATIBLE MODELS· 130
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
294
TOK/S · 9% VRAM
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
196
TOK/S · 10% VRAM
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
189
TOK/S · 10% VRAM
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
189
TOK/S · 10% VRAM
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
103
TOK/S · 11% VRAM
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
98
TOK/S · 11% VRAM
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
87
TOK/S · 11% VRAM
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
79
TOK/S · 12% VRAM
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
79
TOK/S · 12% VRAM
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
79
TOK/S · 12% VRAM
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
76
TOK/S · 12% VRAM
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
74
TOK/S · 12% VRAM
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
70
TOK/S · 12% VRAM
A
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
53
TOK/S · 13% VRAM
A
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
53
TOK/S · 13% VRAM
A
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
51
TOK/S · 13% VRAM
A
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
47
TOK/S · 14% VRAM
A
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
47
TOK/S · 14% VRAM
A
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
44
TOK/S · 14% VRAM
A
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
44
TOK/S · 14% VRAM
A
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
44
TOK/S · 14% VRAM
A
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
43
TOK/S · 14% VRAM
B
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
36
TOK/S · 16% VRAM
B
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
35
TOK/S · 16% VRAM
B
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
33
TOK/S · 16% VRAM
B
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
30
TOK/S · 17% VRAM
B
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
28
TOK/S · 18% VRAM
B
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
25
TOK/S · 19% VRAM
C
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
24
TOK/S · 19% VRAM
C
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
22
TOK/S · 20% VRAM
C
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
22
TOK/S · 20% VRAM
C
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
22
TOK/S · 20% VRAM
C
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
22
TOK/S · 20% VRAM
C
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
20
TOK/S · 22% VRAM
C
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
20
TOK/S · 21% VRAM
C
OPT 1.3B1.3B
OPT·2K CTX· CHAT
20
TOK/S · 21% VRAM
C
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
20
TOK/S · 21% VRAM
C
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
19
TOK/S · 23% VRAM
C
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
19
TOK/S · 23% VRAM
C
granite-4.0-h-tiny 6.9B6.9BMoE
GRANITE·128K CTX· CHAT
18
TOK/S · 78% VRAM
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your ARM Mali-G76 MP12.

WHAT THIS CARD IS WORTH

ARM Mali-G76 MP12 holds 130 of the models in our catalogue and is, in practice, a Q4_K_M card — the largest it takes is Falcon-H1 7B at Q4_K_M.

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
Falcon-H1 7B7.59B · Q4_K_M5.4 GB5 tok/sEST
Falcon-H1R 7B7.59B · Q4_K_M5.4 GB5 tok/sEST
Falcon Mamba 7B7.27B · Q4_K_M5.0 GB5 tok/sEST
WizardLM 2 7B7B · Q4_K_M5.3 GB5 tok/sEST
StarCoder2 7B7B · Q4_K_M5.0 GB5 tok/sEST
Dolly v2 7B6.9B · Q4_K_M5.3 GB5 tok/sEST
granite-4.0-h-tiny 6.9B6.9B · Q4_K_M5.0 GB24 tok/sEST
ChatGLM2 6B6.24B · Q5_K_M5.1 GB5 tok/sEST
AGAINST CARDS OF SIMILAR MEMORY
RTX 3080 10GB10 GB$42917.7 tok/s per $100
Arc B57010 GB$2198.2 tok/s per $100
Radeon RX 670010 GB$29912.0 tok/s per $100
Radeon RX 6750 GRE 10 GB10 GB$22915.7 tok/s per $100
ARM Mali-G76 MP126 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 Mali-G76 MP12 — 6 GB VRAM.

ARM MALI-G76 MP12 SPEC
BRAND
Apple
VRAM
6 GB
BANDWIDTH
29.8 GB/s
FP16 COMPUTE
0.4 TFLOPS
FP32 COMPUTE
0.2 TFLOPS
TDP
4 W
ARCHITECTURE
Bifrost
▸ AI CAPABILITY
130/ 449 models @ Q4

With 6 GB VRAM and 29.8 GB/s bandwidth, this GPU handles models up to 7B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~3 tok/s.

RENT IT — LIVE PRICES
Checking what the clouds are charging…
§ 01TOP MODELS FOR ARM MALI-G76 MP12
130 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
Alpaca 7B7B4.8 GB427.7
Baichuan2 7B7B4.8 GB421.5
Vicuna 7B7B4.8 GB422.0
MPT-7B7B4.8 GB47.8
Orca 2 7B7B4.8 GB426.1
WizardLM 2 7B7B4.8 GB426.1
StarCoder2 7B7B4.8 GB417.0
WizardCoder Python 7B7B4.8 GB453.7
WizardLM 7B7B4.8 GB415.5
OLMo 3.1 RLZero 7B Code7B4.8 GB421.8
OLMo 3.1 RLZero 7B Math7B4.8 GB421.8
Dolly v2 7B6.9B4.7 GB47.0
granite-4.0-h-tiny 6.9B6.9B4.7 GB1849.2
Llama 2 7B6.74B4.6 GB421.1
CodeLlama 7B6.74B4.6 GB428.1
LLaMA 1 7B6.74B4.6 GB430.8
DeepSeek Coder 6.7B6.7B4.6 GB423.6
OPT 6.7B6.7B4.6 GB418.5
ChatGLM2 6B6.24B4.3 GB420.7
ChatGLM3 6B6.24B4.3 GB442.7