Supermicro X9DRi-LN4+/X9DR3-LN4+
Geekbench AI Score
1437
Single Precision Score
584
Half Precision Score
1446
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | w4s0r1 |
| Upload Date | April 13 2025 05:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Supermicro X9DRi-LN4+/X9DR3-LN4+ |
| Motherboard | Supermicro X9DRi-LN4+/X9DR3-LN4+ |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v2 |
| Topology | 2 Processors, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1110
206.5 IPS |
|
|
Image Classification (HP)
|
100% |
196
36.4 IPS |
|
|
Image Classification (Q)
|
96% |
1537
287.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
587
9.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
355
5.75 IPS |
|
|
Image Segmentation (Q)
|
97% |
705
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2458
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1713
2.00 IPS |
|
|
Pose Estimation (Q)
|
86% |
3143
3.72 IPS |
|
|
Object Detection (SP)
|
100% |
1071
84.9 IPS |
|
|
Object Detection (HP)
|
100% |
263
20.8 IPS |
|
|
Object Detection (Q)
|
58% |
1115
121.8 IPS |
|
|
Face Detection (SP)
|
100% |
3034
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
640
7.60 IPS |
|
|
Face Detection (Q)
|
96% |
3065
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3200
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
876
6.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
3017
24.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6022
7.74 IPS |
|
|
Style Transfer (HP)
|
100% |
4550
5.85 IPS |
|
|
Style Transfer (Q)
|
87% |
4780
6.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
808
29.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
958
35.5 IPS |
|
|
Text Classification (SP)
|
100% |
494
659.0 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.4 IPS |
|
|
Text Classification (Q)
|
97% |
234
314.1 IPS |
|
|
Machine Translation (SP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.74 IPS |
|
|
Machine Translation (Q)
|
68% |
1066
20.6 IPS |
