Supermicro Super Server
Geekbench AI Score
6465
Single Precision Score
6478
Half Precision Score
17850
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | danm1988 |
| Upload Date | April 28 2025 11:35 PM |
| Views | 5 |
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 | 188.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3871
719.8 IPS |
|
|
Image Classification (HP)
|
100% |
3853
716.5 IPS |
|
|
Image Classification (Q)
|
100% |
11195
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5245
85.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5510
89.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12182
197.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7387
8.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
7323
8.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
33327
39.0 IPS |
|
|
Object Detection (SP)
|
100% |
3709
294.2 IPS |
|
|
Object Detection (HP)
|
100% |
3773
299.2 IPS |
|
|
Object Detection (Q)
|
88% |
11966
959.2 IPS |
|
|
Face Detection (SP)
|
100% |
12451
147.9 IPS |
|
|
Face Detection (HP)
|
100% |
12293
146.1 IPS |
|
|
Face Detection (Q)
|
100% |
26331
312.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9667
74.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9816
75.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
32021
249.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21529
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21944
28.2 IPS |
|
|
Style Transfer (Q)
|
98% |
97895
126.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4931
182.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4904
181.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18818
696.9 IPS |
|
|
Text Classification (SP)
|
100% |
3064
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2856
3.81 KIPS |
|
|
Text Classification (Q)
|
92% |
6477
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5860
100.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5990
103.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6002
103.4 IPS |
