FP16 → FP16 tensor rate

FP16 multiply with an FP16 accumulator, the path that already runs at full tensor rate.

How this path is measured

Register-resident mma.sync issue rate: all-one inputs, eight independent accumulator chains per warp, 20,000 iterations and three timed repetitions, best of three reported.

Governed by the SM speed-select fuse: no

What the unlock changes on this path

8 rows over 8 cards. 0 improved by more than 5%, 8 did not; the largest gain is GeForce RTX 4090 at 1.02×.

ModeStockUnlockedGainCard
f16/f16 · unlocked values are the 40,000-iteration run; f16/f16 was mostly unaffected, unlike f16/f32325.7331.6 TF/s1.02×GeForce RTX 4090 · AD102 · 128 SMs
f16/f16 · control mode, already at full rate169.4170.0 TF/s1.00×GeForce RTX 4070 Ti · AD104 · 60 SMs
f16/f16 · control mode, already at full rate210.1210.4 TF/s1.00×GeForce RTX 4080 SUPER · AD103 · 80 SMs
f16/f16 · control mode, already at full rate153.4153.6 TF/s1.00×GeForce RTX 4070 SUPER · AD104 · 56 SMs
f16/f16 · control mode, already at full rate133.9133.9 TF/s1.00×GeForce RTX 4070 (Gigabyte) · AD104 · 46 SMs
f16/f16 · control mode, already at full rate36.636.6 TF/s1.00×GeForce RTX 3050 6GB · GA107 · 18 SMs
f16/f16 · control mode, already at full rate214.2213.9 TF/s1.00×GeForce RTX 4080 · AD103 · 76 SMs
f16/f16 · control mode, already at full rate132.6132.2 TF/s1.00×GeForce RTX 4070 (AD103) · AD103 · 46 SMs

The smallest ratio in this set is GeForce RTX 4070 (AD103) at 1.00×.

Reading the numbers

A 1.00× row is not a failed unlock. It says that particular path was never rate-limited, so the override had nothing to restore. If you benchmark your own card and see 1.00× on the mode you care about, the unlock may well have applied correctly and simply does not help that workload.

Other measurement paths