Supermicro X8DTN
Geekbench AI Score
50
Single Precision Score
51
Half Precision Score
39
Quantized Score
Geekbench AI 1.1.0 for Linux x86 (64-bit)
Result Information
| Upload Date | September 17 2024 02:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon X5690 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | Supermicro X8DTN |
| Motherboard | Supermicro X8DTN |
| CPU Information | |
|---|---|
| Name | Intel Xeon X5690 |
| Topology | 2 Processors, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 204.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
28
5.26 IPS |
|
|
Image Classification (HP)
|
100% |
28
5.28 IPS |
|
|
Image Classification (Q)
|
97% |
25
4.58 IPS |
|
|
Image Segmentation (SP)
|
100% |
41
0.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
41
0.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
33
0.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
51
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
51
0.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
45
0.05 IPS |
|
|
Object Detection (SP)
|
100% |
28
2.21 IPS |
|
|
Object Detection (HP)
|
100% |
28
2.25 IPS |
|
|
Object Detection (Q)
|
87% |
24
1.92 IPS |
|
|
Face Detection (SP)
|
100% |
94
1.12 IPS |
|
|
Face Detection (HP)
|
100% |
94
1.11 IPS |
|
|
Face Detection (Q)
|
97% |
75
0.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
71
0.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
70
0.54 IPS |
|
|
Depth Estimation (Q)
|
64% |
48
0.44 IPS |
|
|
Style Transfer (SP)
|
100% |
152
0.20 IPS |
|
|
Style Transfer (HP)
|
100% |
154
0.20 IPS |
|
|
Style Transfer (Q)
|
98% |
133
0.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32
1.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33
1.21 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
27
1.02 IPS |
|
|
Text Classification (SP)
|
100% |
34
45.9 IPS |
|
|
Text Classification (HP)
|
100% |
34
45.8 IPS |
|
|
Text Classification (Q)
|
91% |
26
35.0 IPS |
|
|
Machine Translation (SP)
|
100% |
64
1.11 IPS |
|
|
Machine Translation (HP)
|
100% |
65
1.12 IPS |
|
|
Machine Translation (Q)
|
58% |
35
0.82 IPS |
