Supermicro Super Server
Geekbench AI Score
5764
Single Precision Score
5781
Half Precision Score
14794
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 06 2025 01:03 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900KS |
| 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 Core i9-13900KS |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3515
653.8 IPS |
|
|
Image Classification (HP)
|
100% |
3555
661.1 IPS |
|
|
Image Classification (Q)
|
100% |
9786
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4869
78.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4864
78.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11063
179.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8421
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
8395
9.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
29472
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
3204
254.2 IPS |
|
|
Object Detection (HP)
|
100% |
3212
254.8 IPS |
|
|
Object Detection (Q)
|
88% |
10254
822.0 IPS |
|
|
Face Detection (SP)
|
100% |
10376
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
10446
124.1 IPS |
|
|
Face Detection (Q)
|
100% |
23995
285.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9142
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9212
71.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
27969
217.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24884
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24970
32.1 IPS |
|
|
Style Transfer (Q)
|
98% |
87102
112.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4565
168.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4572
168.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16488
610.6 IPS |
|
|
Text Classification (SP)
|
100% |
2861
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (Q)
|
92% |
5614
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2844
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2791
48.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2837
48.9 IPS |
