Supermicro Super Server
Geekbench AI Score
6524
Single Precision Score
6432
Half Precision Score
17853
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | danm1988 |
| Upload Date | May 15 2025 12:57 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | openSUSE Leap 15.6 |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X13SAE-F |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 188.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3851
716.1 IPS |
|
|
Image Classification (HP)
|
100% |
3841
714.3 IPS |
|
|
Image Classification (Q)
|
100% |
11159
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5308
86.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5244
85.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12079
195.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7647
8.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
7356
8.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
33042
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
3730
295.9 IPS |
|
|
Object Detection (HP)
|
100% |
3673
291.3 IPS |
|
|
Object Detection (Q)
|
88% |
11964
959.1 IPS |
|
|
Face Detection (SP)
|
100% |
12261
145.7 IPS |
|
|
Face Detection (HP)
|
100% |
12303
146.2 IPS |
|
|
Face Detection (Q)
|
100% |
26872
319.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9596
73.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9562
73.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
32008
249.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22006
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21189
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
97956
126.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4844
178.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4752
175.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18906
700.1 IPS |
|
|
Text Classification (SP)
|
100% |
3144
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3174
4.24 KIPS |
|
|
Text Classification (Q)
|
92% |
6539
8.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
6076
104.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5927
102.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5928
102.1 IPS |
