Supermicro SYS-740A-T
Geekbench AI Score
3388
Single Precision Score
951
Half Precision Score
4429
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 23 2025 12:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Gold 5318N CPU @ 2.10GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Supermicro SYS-740A-T |
| Motherboard | Supermicro X12DAi-N6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) Gold 5318N CPU @ 2.10GHz |
| Topology | 2 Processors, 48 Cores, 96 Threads |
| Identifier | GenuineIntel Family 6 Model 106 Stepping 6 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2801
520.8 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (Q)
|
99% |
3868
721.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1010
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
412
6.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
1964
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14251
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
5351
6.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
30993
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
428
34.0 IPS |
|
|
Object Detection (Q)
|
86% |
5010
402.7 IPS |
|
|
Face Detection (SP)
|
100% |
5409
64.3 IPS |
|
|
Face Detection (HP)
|
100% |
702
8.35 IPS |
|
|
Face Detection (Q)
|
97% |
5252
62.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7955
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1149
8.85 IPS |
|
|
Depth Estimation (Q)
|
78% |
11587
92.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22375
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10301
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
10420
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2506
92.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2445
90.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2571
95.2 IPS |
|
|
Text Classification (SP)
|
100% |
730
974.2 IPS |
|
|
Text Classification (HP)
|
100% |
342
456.9 IPS |
|
|
Text Classification (Q)
|
97% |
884
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
420
7.24 IPS |
|
|
Machine Translation (Q)
|
65% |
1712
34.4 IPS |
