Supermicro SYS-420GP-TNR
Geekbench AI Score
5067
Single Precision Score
1513
Half Precision Score
5300
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 04 2024 11:28 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon Gold 6326 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard Evaluation (64-bit) |
| Model | Supermicro SYS-420GP-TNR |
| Motherboard | Supermicro X12DPG-OA6 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 6326 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 106 Stepping 6 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 1024.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4585
852.7 IPS |
|
|
Image Classification (HP)
|
100% |
432
80.4 IPS |
|
|
Image Classification (Q)
|
99% |
6152
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1497
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
709
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2191
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15319
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9604
11.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
39804
46.7 IPS |
|
|
Object Detection (SP)
|
100% |
4149
329.1 IPS |
|
|
Object Detection (HP)
|
100% |
547
43.4 IPS |
|
|
Object Detection (Q)
|
86% |
5597
449.8 IPS |
|
|
Face Detection (SP)
|
100% |
9243
109.8 IPS |
|
|
Face Detection (HP)
|
100% |
1379
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
7711
91.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13449
103.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1913
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
15824
126.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25756
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19839
25.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22582
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3690
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2720
100.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3288
121.7 IPS |
|
|
Text Classification (SP)
|
100% |
1184
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
569
759.3 IPS |
|
|
Text Classification (Q)
|
97% |
345
462.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1831
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
485
8.36 IPS |
|
|
Machine Translation (Q)
|
65% |
1864
37.5 IPS |
