Supermicro Super Server
Geekbench AI Score
5376
Single Precision Score
5359
Half Precision Score
15265
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 22 2025 11:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X13SAE-F |
| Power Plan | Ultimate Performance |
| 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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3293
612.4 IPS |
|
|
Image Classification (HP)
|
100% |
3294
612.7 IPS |
|
|
Image Classification (Q)
|
100% |
9933
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4561
73.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4666
75.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11068
179.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7959
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
8219
9.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
33004
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
2601
206.3 IPS |
|
|
Object Detection (HP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (Q)
|
88% |
10692
857.1 IPS |
|
|
Face Detection (SP)
|
100% |
8873
105.4 IPS |
|
|
Face Detection (HP)
|
100% |
8706
103.4 IPS |
|
|
Face Detection (Q)
|
100% |
25363
301.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8675
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8713
67.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
28146
218.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25087
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25349
32.6 IPS |
|
|
Style Transfer (Q)
|
98% |
92147
118.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4334
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4317
159.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16981
628.9 IPS |
|
|
Text Classification (SP)
|
100% |
2767
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2741
3.66 KIPS |
|
|
Text Classification (Q)
|
92% |
5590
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2803
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2724
46.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2837
48.9 IPS |
