| User | Marina |
| Upload Date | April 18 2025 06:57 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-7960X CPU @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel pour les Stations de travail (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. WS X299 PRO_SE |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7960X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4633
861.6 IPS |
|
|
Image Classification (HP)
|
100% |
4468
830.8 IPS |
|
|
Image Classification (Q)
|
100% |
5764
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5444
88.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6250
101.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8587
139.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13391
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
13137
15.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
20409
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
4558
361.6 IPS |
|
|
Object Detection (HP)
|
100% |
4479
355.3 IPS |
|
|
Object Detection (Q)
|
87% |
6493
520.8 IPS |
|
|
Face Detection (SP)
|
100% |
11195
133.0 IPS |
|
|
Face Detection (HP)
|
100% |
9379
111.4 IPS |
|
|
Face Detection (Q)
|
97% |
18201
217.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12008
92.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12628
97.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
17939
141.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30237
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31963
41.1 IPS |
|
|
Style Transfer (Q)
|
98% |
51432
66.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7571
279.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6884
254.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9940
368.2 IPS |
|
|
Text Classification (SP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2446
3.26 KIPS |
|
|
Text Classification (Q)
|
91% |
1679
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3520
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3642
62.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3633
62.6 IPS |