Supermicro Super Server
Geekbench AI Score
8151
Single Precision Score
8298
Half Precision Score
16906
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 05 2024 05:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Silver 4314 CPU @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X12SPI-TF |
| CPU Information | |
|---|---|
| Name | Intel Xeon Silver 4314 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 106 Stepping 6 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4863
904.3 IPS |
|
|
Image Classification (HP)
|
100% |
5118
951.8 IPS |
|
|
Image Classification (Q)
|
100% |
9758
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5565
90.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5647
91.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9037
146.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13682
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13883
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
57080
66.9 IPS |
|
|
Object Detection (SP)
|
100% |
4851
384.8 IPS |
|
|
Object Detection (HP)
|
100% |
4940
391.8 IPS |
|
|
Object Detection (Q)
|
88% |
10659
854.4 IPS |
|
|
Face Detection (SP)
|
100% |
14175
168.4 IPS |
|
|
Face Detection (HP)
|
100% |
14290
169.8 IPS |
|
|
Face Detection (Q)
|
100% |
27142
322.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14330
110.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14616
112.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
35314
274.6 IPS |
|
|
Style Transfer (SP)
|
100% |
37395
48.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38396
49.4 IPS |
|
|
Style Transfer (Q)
|
98% |
132592
171.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7725
285.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7876
290.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20750
768.4 IPS |
|
|
Text Classification (SP)
|
100% |
3165
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (Q)
|
92% |
3537
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3885
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3808
65.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3813
65.7 IPS |
