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exec - 2025-11-25 11:16:18 - MAQAO 2025.1.3

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Global Metrics

Total Time (s)		7.97
Max (Thread Active Time) (s)		5.42
Average Active Time (s)		4.34
Activity Ratio (%)		74.9
Average number of active threads		52.283
Affinity Stability (%)		92.2
Time in analyzed loops (%)		63.6
Time in analyzed innermost loops (%)		57.7
Time in user code (%)		64.0
Compilation Options Score (%)		100.0
Array Access Efficiency (%)		77.4
Potential Speedups
Perfect Flow Complexity		1.00
Perfect OpenMP/MPI/Pthread/TBB		1.31
Perfect OpenMP/MPI/Pthread/TBB + Perfect Load Distribution		1.93
No Scalar Integer	Potential Speedup	1.01
	Nb Loops to get 80%	4
FP Vectorised	Potential Speedup	1.00
	Nb Loops to get 80%	2
Fully Vectorised	Potential Speedup	1.34
	Nb Loops to get 80%	1
FP Arithmetic Only	Potential Speedup	1.78
	Nb Loops to get 80%	2

CQA Potential Speedups Summary

Average Active Threads Count⏎

Loop Based Profile⏎

Innermost Loop Based Profile⏎

Application Categorization⏎

Compilation Options⏎

Source Object	Issue
▼libllama.so–
▼–
○	-g is missing for some functions (possibly ones added by the compiler), it is needed to have more accurate reports. Other recommended flags are: -O2/-O3, -march=(target)
○	-O2, -O3 or -Ofast is missing.
○	-mcpu=native is missing.
▼libggml-cpu.so–
○binary-ops.cpp
○traits.cpp
○kai_rhs_pack_nxk_qsi4c32pscalef16_qsu4c32s16s0.c
○kai_matmul_clamp_f32_qsi8d32p4x8_qsi4c32p4x8_16x4_neon_i8mm.c
○kleidiai.cpp
○vec.cpp
○kai_lhs_quant_pack_qsi8d32p4x8sb_f32_neon.c
○ops.cpp
○ggml-cpu.c
○quants.c
▼libggml-base.so–
○ggml.c

Loop Path Count Profile⏎

Cumulated Speedup If No Scalar Integer⏎

Cumulated Speedup If FP Vectorized⏎

Cumulated Speedup If Fully Vectorized⏎

Cumulated Speedup If FP Arithmetic Only⏎