Supermicro SYS-6027AX-TRF-HFT3
Geekbench AI Score
1496
Single Precision Score
665
Half Precision Score
1524
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | Deslok |
| Upload Date | January 19 2025 03:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2667 v2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Supermicro SYS-6027AX-TRF-HFT3 |
| Motherboard | Supermicro X9DAX-HFT |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2667 v2 |
| Topology | 2 Processors, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1077
200.2 IPS |
|
|
Image Classification (HP)
|
100% |
236
43.9 IPS |
|
|
Image Classification (Q)
|
96% |
1633
304.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
581
9.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
380
6.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
727
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2516
2.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2133
2.49 IPS |
|
|
Pose Estimation (Q)
|
86% |
3450
4.08 IPS |
|
|
Object Detection (SP)
|
100% |
1166
92.5 IPS |
|
|
Object Detection (HP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (Q)
|
58% |
1207
131.9 IPS |
|
|
Face Detection (SP)
|
100% |
3211
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
777
9.23 IPS |
|
|
Face Detection (Q)
|
96% |
3054
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3268
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1001
7.71 IPS |
|
|
Depth Estimation (Q)
|
78% |
3143
25.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6302
8.10 IPS |
|
|
Style Transfer (HP)
|
100% |
5645
7.26 IPS |
|
|
Style Transfer (Q)
|
87% |
5588
7.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1082
39.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
861
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1087
40.3 IPS |
|
|
Text Classification (SP)
|
100% |
592
789.5 IPS |
|
|
Text Classification (HP)
|
100% |
274
366.0 IPS |
|
|
Text Classification (Q)
|
97% |
257
343.9 IPS |
|
|
Machine Translation (SP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (Q)
|
68% |
913
17.6 IPS |
