Supermicro Super Server
Geekbench AI Score
5308
Single Precision Score
5261
Half Precision Score
13504
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 19 2025 07:47 PM |
| Views | 14 |
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% |
3218
598.5 IPS |
|
|
Image Classification (HP)
|
100% |
3296
613.0 IPS |
|
|
Image Classification (Q)
|
100% |
9878
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4614
74.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4636
75.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11006
178.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8608
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8516
9.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
32399
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
2940
233.2 IPS |
|
|
Object Detection (HP)
|
100% |
2886
228.9 IPS |
|
|
Object Detection (Q)
|
88% |
10556
846.2 IPS |
|
|
Face Detection (SP)
|
100% |
8704
103.4 IPS |
|
|
Face Detection (HP)
|
100% |
8348
99.2 IPS |
|
|
Face Detection (Q)
|
100% |
15586
185.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8209
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7763
59.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
28439
221.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22902
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23024
29.6 IPS |
|
|
Style Transfer (Q)
|
98% |
49064
63.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3933
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3876
143.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17030
630.7 IPS |
|
|
Text Classification (SP)
|
100% |
2790
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2788
3.72 KIPS |
|
|
Text Classification (Q)
|
92% |
5616
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2636
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2685
46.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2609
44.9 IPS |
