Supermicro Super Server
Geekbench AI Score
5396
Single Precision Score
5332
Half Precision Score
14937
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 23 2025 03:51 AM |
| Views | 6 |
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% |
3269
607.9 IPS |
|
|
Image Classification (HP)
|
100% |
3077
572.2 IPS |
|
|
Image Classification (Q)
|
100% |
9869
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4298
69.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4415
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10552
171.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8232
9.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
8381
9.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
33254
39.0 IPS |
|
|
Object Detection (SP)
|
100% |
2932
232.6 IPS |
|
|
Object Detection (HP)
|
100% |
2860
226.8 IPS |
|
|
Object Detection (Q)
|
88% |
10813
866.8 IPS |
|
|
Face Detection (SP)
|
100% |
9803
116.5 IPS |
|
|
Face Detection (HP)
|
100% |
9856
117.1 IPS |
|
|
Face Detection (Q)
|
100% |
25175
299.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8795
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8887
68.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
28018
217.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25129
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24145
31.0 IPS |
|
|
Style Transfer (Q)
|
98% |
91595
118.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3856
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3877
143.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16870
624.8 IPS |
|
|
Text Classification (SP)
|
100% |
2764
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2733
3.65 KIPS |
|
|
Text Classification (Q)
|
92% |
5574
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2676
46.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2550
43.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2431
41.9 IPS |
