| User | tlywly |
| Upload Date | August 16 2024 03:40 PM |
| Views | 20 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD EPYC 9654 96-Core Processor |
| System Information | |
|---|---|
| Operating System | Fedora Linux 40 (Workstation Edition) |
| Model | Giga Computing MZ73-LM1-000 |
| Motherboard | Giga Computing MZ73-LM1-000 |
| CPU Information | |
|---|---|
| Name | AMD EPYC 9654 |
| Topology | 2 Processors, 192 Cores, 384 Threads |
| Identifier | AuthenticAMD Family 25 Model 17 Stepping 1 |
| Base Frequency | 3.71 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 755.02 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3366
626.0 IPS |
|
|
Image Classification (HP)
|
100% |
3650
678.9 IPS |
|
|
Image Classification (Q)
|
100% |
4009
745.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4897
79.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5010
81.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5400
87.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
69172
80.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
69465
81.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
176143
206.2 IPS |
|
|
Object Detection (SP)
|
100% |
4023
319.1 IPS |
|
|
Object Detection (HP)
|
100% |
4010
318.1 IPS |
|
|
Object Detection (Q)
|
88% |
4479
359.0 IPS |
|
|
Face Detection (SP)
|
100% |
10948
130.1 IPS |
|
|
Face Detection (HP)
|
100% |
11067
131.5 IPS |
|
|
Face Detection (Q)
|
100% |
13178
156.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
26962
207.7 IPS |
|
|
Depth Estimation (HP)
|
100% |
26557
204.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
27860
220.8 IPS |
|
|
Style Transfer (SP)
|
100% |
156987
201.8 IPS |
|
|
Style Transfer (HP)
|
100% |
156333
201.0 IPS |
|
|
Style Transfer (Q)
|
98% |
323750
417.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14078
519.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14031
518.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17372
643.4 IPS |
|
|
Text Classification (SP)
|
100% |
943
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1062
1.42 KIPS |
|
|
Text Classification (Q)
|
92% |
1150
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1768
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1739
30.0 IPS |
|
|
Machine Translation (Q)
|
85% |
1775
31.0 IPS |