| User | JoaoSchlemm |
| Upload Date | May 19 2025 01:25 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Platinum 8462Y+ |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | VMware, Inc. VMware7,1 |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| CPU Information | |
|---|---|
| Name | Intel Xeon Platinum 8462Y+ |
| Topology | 16 Processors, 32 Cores |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.48 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5295
984.7 IPS |
|
|
Image Classification (HP)
|
100% |
4887
908.8 IPS |
|
|
Image Classification (Q)
|
100% |
13330
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7907
128.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9363
151.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19056
308.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20725
24.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20778
24.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
79311
92.9 IPS |
|
|
Object Detection (SP)
|
100% |
4932
391.2 IPS |
|
|
Object Detection (HP)
|
100% |
5327
422.5 IPS |
|
|
Object Detection (Q)
|
88% |
12215
979.2 IPS |
|
|
Face Detection (SP)
|
100% |
16228
192.8 IPS |
|
|
Face Detection (HP)
|
100% |
16097
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
38917
462.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13508
104.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13910
107.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
35826
278.7 IPS |
|
|
Style Transfer (SP)
|
100% |
54886
70.6 IPS |
|
|
Style Transfer (HP)
|
100% |
45091
58.0 IPS |
|
|
Style Transfer (Q)
|
98% |
196879
253.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8190
302.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8500
313.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22634
838.2 IPS |
|
|
Text Classification (SP)
|
100% |
2483
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2507
3.35 KIPS |
|
|
Text Classification (Q)
|
92% |
3272
4.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4461
76.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3750
64.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4261
73.4 IPS |