Supermicro SYS-7048GR-TR
Geekbench AI Score
1812
Single Precision Score
761
Half Precision Score
1725
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 05:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2666 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Supermicro SYS-7048GR-TR |
| Motherboard | Supermicro X10DRG-Q |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2666 v3 |
| Topology | 2 Processors, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
921
171.3 IPS |
|
|
Image Classification (HP)
|
100% |
236
43.9 IPS |
|
|
Image Classification (Q)
|
96% |
1393
260.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
404
6.56 IPS |
|
|
Image Segmentation (Q)
|
97% |
1205
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5767
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3466
4.04 IPS |
|
|
Pose Estimation (Q)
|
87% |
8410
9.93 IPS |
|
|
Object Detection (SP)
|
100% |
1079
85.6 IPS |
|
|
Object Detection (HP)
|
100% |
307
24.4 IPS |
|
|
Object Detection (Q)
|
86% |
848
68.2 IPS |
|
|
Face Detection (SP)
|
100% |
1894
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
697
8.28 IPS |
|
|
Face Detection (Q)
|
96% |
1997
23.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4597
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1121
8.64 IPS |
|
|
Depth Estimation (Q)
|
77% |
3378
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12149
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7918
10.2 IPS |
|
|
Style Transfer (Q)
|
87% |
8230
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1423
52.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1088
40.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1301
48.2 IPS |
|
|
Text Classification (SP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
322
429.4 IPS |
|
|
Text Classification (Q)
|
97% |
281
376.6 IPS |
|
|
Machine Translation (SP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (Q)
|
60% |
964
21.5 IPS |
