AMD FX-6350 Box vs AMD Athlon II X4 760K Box
AMD Athlon II X4 760K Box — Pick the AMD Athlon II X4 760K Box — it leads these groups: Efficiency 1
Tap a group name to see the proof · The scoring method is public
The short answer
AMD Athlon II X4 760K Box wins this comparison with a score of 45/100, ahead of AMD FX-6350 Box (39).
The main differences: Base clock (3.9 GHz vs 3.8 GHz) · TDP (125 W vs 100 W).
Scores are computed from 6 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.
At a glance
0–100 per group, normalized within the category · Tap a group for details
| AMD FX-6350 Box | AMD Athlon II X4 760K Box | |
|---|---|---|
| Performance | 32 | 41 |
| Cache | 3 | 9 |
| Efficiency | 61 | 71 |
How to choose
Pick the AMD FX-6350 Box if you care about…
- Base clock 3.9 GHz +0.1 GHz vs 3.8 GHz
Pick the AMD Athlon II X4 760K Box if you care about…
- TDP 100 W +25 W vs 125 W
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Where they differ
2 · Only rows that actually differ, with a verdict per row
| AMD FX-6350 Box | AMD Athlon II X4 760K Box | Where they differ | |
|---|---|---|---|
| Base clock | 3.9 GHz | 3.8 GHz | AMD FX-6350 Box |
| TDP | 125 W | 100 W | AMD Athlon II X4 760K Box |
The record
Grouped and collapsible · Tap a group to fold
Performance4▾
| AMD FX-6350 Box | AMD Athlon II X4 760K Box | |
|---|---|---|
| Cores | 6 | — |
| Threads | 6 | — |
| Max boost clock | 4.2 GHz | — |
| Base clock | 3.9 GHz | 3.8 GHz |
Cache1▾
| AMD FX-6350 Box | AMD Athlon II X4 760K Box | |
|---|---|---|
| L3 cache | 8 MB | — |
Efficiency1▾
| AMD FX-6350 Box | AMD Athlon II X4 760K Box | |
|---|---|---|
| TDP | 125 W | 100 W |
FAQ
Which is better, AMD FX-6350 Box or AMD Athlon II X4 760K Box?
AMD Athlon II X4 760K Box has the higher overall score (45 vs 39) and leads in Efficiency. Choose AMD FX-6350 Box instead if Base clock matters more to you.
What are the main differences?
The main differences: Base clock (3.9 GHz vs 3.8 GHz) · TDP (125 W vs 100 W).
How are the scores calculated?
We normalize 6 public spec attributes within the category and weight them by group into a 0–100 score; missing values are inherited from spec-identical twins or imputed at the category median, so a sparse spec sheet never earns an advantage. The methodology is public.
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