Supermicro Super Server
Geekbench AI Score
5355
Single Precision Score
1592
Half Precision Score
6868
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 01 2025 12:06 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
4188
778.9 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.6 IPS |
|
|
Image Classification (Q)
|
99% |
6936
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2255
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1007
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3297
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10602
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4552
5.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
32433
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
4082
323.8 IPS |
|
|
Object Detection (HP)
|
100% |
685
54.3 IPS |
|
|
Object Detection (Q)
|
86% |
6655
534.9 IPS |
|
|
Face Detection (SP)
|
100% |
11312
134.4 IPS |
|
|
Face Detection (HP)
|
100% |
1797
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
11272
134.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12338
95.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2084
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
16912
134.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24120
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11967
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26133
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3841
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2127
78.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5007
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
1671
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
556
744.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2199
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3415
68.6 IPS |
