| User | radu103 |
| Upload Date | May 07 2025 01:49 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) E-2276M CPU @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro for Workstations (64-bit) |
| Model | LENOVO 20QUS0TQ01 |
| Motherboard | LENOVO 20QUS0TQ01 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E-2276M |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1917
356.6 IPS |
|
|
Image Classification (HP)
|
100% |
1962
364.9 IPS |
|
|
Image Classification (Q)
|
100% |
2977
553.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2068
33.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3473
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3707
4.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
3544
4.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
7022
8.24 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
100% |
1867
148.1 IPS |
|
|
Object Detection (Q)
|
87% |
2954
236.9 IPS |
|
|
Face Detection (SP)
|
100% |
3662
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
3615
43.0 IPS |
|
|
Face Detection (Q)
|
97% |
7881
94.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4814
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4774
36.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
7763
61.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10727
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10618
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20346
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2206
81.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2230
82.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4224
156.5 IPS |
|
|
Text Classification (SP)
|
100% |
2064
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2053
2.74 KIPS |
|
|
Text Classification (Q)
|
91% |
892
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2918
50.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2935
50.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2881
49.6 IPS |