Supermicro Super Server
Geekbench AI Score
5264
Single Precision Score
1607
Half Precision Score
7683
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 19 2025 07:52 PM |
| Views | 8 |
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% |
4130
768.0 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.6 IPS |
|
|
Image Classification (Q)
|
99% |
6595
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
942
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4230
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10811
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
4595
5.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
32150
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
3814
302.6 IPS |
|
|
Object Detection (HP)
|
100% |
728
57.7 IPS |
|
|
Object Detection (Q)
|
86% |
7411
595.6 IPS |
|
|
Face Detection (SP)
|
100% |
10606
126.0 IPS |
|
|
Face Detection (HP)
|
100% |
1668
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
11143
132.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12473
96.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2239
17.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
17812
142.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23844
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11476
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
22725
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3926
145.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2334
86.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4668
172.8 IPS |
|
|
Text Classification (SP)
|
100% |
1718
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1560
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2284
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3283
66.0 IPS |
