86 lines
1.5 KiB
Markdown
86 lines
1.5 KiB
Markdown
# 10000/50/25 Benchmark
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## One Core Utilisation
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randomi.py
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### Conrads Setup (HDD)
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53.5 sec
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### Conrads Setup (m.2 SSD)
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63.29 sec
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### Tillmanns Setup (HDD)
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82.29 sec
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## 4 Core Utilisation
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randomi4c.py
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### Conrads Setup (HDD)
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17.71 sec
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### Conrads Setup (m.2 SSD)
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16.33 sec
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## 8 Core Utilisation
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randomiUnLi.py
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### Conrads Setup (HDD)
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12.58 sec
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### Conrads Setup (m.2 SSD)
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12.32 sec
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## One Core Utilisation (Mk II)
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randomi.py (Mk II)
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### Conrads Setup (HDD)
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54.45 sec
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### 8 Core Utilisation (Mk II)
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randomi.py (Mk II)
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### Conrads Setup (HDD)
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11.57 sec
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### Tillmanns Setup (HDD)
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16.30 sec
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### 16 Core Utilisation (Mk II)
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randomi.py (Mk II)
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### Tillmanns Setup (HDD)
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14.98 sec
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### 16 Core Utilisation & Win Defender Folder exception(Mk II)
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randomi.py (Mk II)
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### Tillmanns Setup (RAMDISK)
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7.47 sec
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### Tillmanns Setup (HDD)
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8.60 sec
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## 32 Thread Utilisation & Win Defender Folder exception(Mk II)
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randomi.py (Mk II)
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### Tillmanns Setup (RAMDISK)
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7.54 sec
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### Tillmanns Setup (HDD)
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7.77 sec
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## Conclusions
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- The limit for generating this benchmark seems to be at around 7.50 sec with the bottleneck being the CPU and the I/O system
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- The generator randomI.py is pretty much as good as it needs to be at generating 10.000 entries in just about 8 seconds
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- Further improvements could be:
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- Generating string values
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- Generating realistic data like adresses, names, phone numbers (...)
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- Exporting the data into an SQL database instead of files |