Supermicro Super Server
Geekbench AI Score
5720
Single Precision Score
5691
Half Precision Score
14822
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 11 2025 01:35 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X13SAE-F |
| Power Plan | High 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% |
3417
635.5 IPS |
|
|
Image Classification (HP)
|
100% |
3414
634.9 IPS |
|
|
Image Classification (Q)
|
100% |
9637
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4727
76.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4735
76.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10640
172.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8472
9.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
8434
9.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
31607
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
3082
244.4 IPS |
|
|
Object Detection (HP)
|
100% |
3068
243.3 IPS |
|
|
Object Detection (Q)
|
88% |
9946
797.3 IPS |
|
|
Face Detection (SP)
|
100% |
10264
122.0 IPS |
|
|
Face Detection (HP)
|
100% |
10242
121.7 IPS |
|
|
Face Detection (Q)
|
100% |
24393
289.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9094
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8985
69.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
27234
211.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24360
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24363
31.3 IPS |
|
|
Style Transfer (Q)
|
98% |
88456
114.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4518
166.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4555
168.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16619
615.5 IPS |
|
|
Text Classification (SP)
|
100% |
2878
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2863
3.82 KIPS |
|
|
Text Classification (Q)
|
92% |
5297
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3007
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2916
50.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3071
52.9 IPS |
