Supermicro X11DPi-N(T)
Geekbench AI Score
13331
Single Precision Score
14432
Half Precision Score
9534
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | SiggiTron |
| Upload Date | February 25 2025 01:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A5000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2019 Standard (64-bit) |
| Model | Supermicro X11DPi-N(T) |
| Motherboard | Supermicro X11DPi-NT |
| Power Plan | Vysok vkon |
| CPU Information | |
|---|---|
| Name | Intel Xeon Silver 4210 |
| Topology | 2 Processors, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 1024.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6012
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
5244
975.2 IPS |
|
|
Image Classification (Q)
|
100% |
4499
836.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5134
83.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5333
86.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4556
74.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
100422
117.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
174739
203.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
81316
95.3 IPS |
|
|
Object Detection (SP)
|
100% |
7396
586.7 IPS |
|
|
Object Detection (HP)
|
100% |
6280
498.2 IPS |
|
|
Object Detection (Q)
|
85% |
5518
443.9 IPS |
|
|
Face Detection (SP)
|
100% |
14459
171.8 IPS |
|
|
Face Detection (HP)
|
100% |
14860
176.6 IPS |
|
|
Face Detection (Q)
|
97% |
11777
140.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
46744
360.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
42783
329.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
29850
239.0 IPS |
|
|
Style Transfer (SP)
|
100% |
182815
235.0 IPS |
|
|
Style Transfer (HP)
|
100% |
312255
401.4 IPS |
|
|
Style Transfer (Q)
|
98% |
139509
179.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24618
909.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23784
878.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15239
564.3 IPS |
|
|
Text Classification (SP)
|
100% |
1888
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2098
2.80 KIPS |
|
|
Text Classification (Q)
|
97% |
1090
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1290
22.3 IPS |
|
|
Machine Translation (Q)
|
70% |
829
15.6 IPS |
