| User | gmn17 | 
| Upload Date | September 17 2024 01:05 AM | 
| Views | 4 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | CPU | 
| Device | AMD Ryzen Threadripper 3960X 24-Core Processor | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | ASUS System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. ROG ZENITH II EXTREME | 
| Power Plan | AMD Ryzen High Performance | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3960X | 
| Topology | 1 Processor, 24 Cores, 48 Threads | 
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 | 
| Base Frequency | 3.80 GHz | 
| Cluster 1 | 24 Cores | 
| Memory Information | |
|---|---|
| Size | 256.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| 
Image Classification (SP)
 | 
100% | 
2517
 468.0 IPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
2523
 469.2 IPS  | 
|
| 
Image Classification (Q)
 | 
100% | 
3674
 683.3 IPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
1968
 31.9 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
1955
 31.7 IPS  | 
|
| 
Image Segmentation (Q)
 | 
99% | 
4748
 77.2 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
15143
 17.7 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
15003
 17.5 IPS  | 
|
| 
Pose Estimation (Q)
 | 
94% | 
19084
 22.4 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
2838
 225.1 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
2872
 227.8 IPS  | 
|
| 
Object Detection (Q)
 | 
87% | 
4483
 359.6 IPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
6290
 74.7 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
6221
 73.9 IPS  | 
|
| 
Face Detection (Q)
 | 
97% | 
15389
 183.5 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
8831
 68.0 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
9037
 69.6 IPS  | 
|
| 
Depth Estimation (Q)
 | 
81% | 
13622
 107.5 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
38673
 49.7 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
38722
 49.8 IPS  | 
|
| 
Style Transfer (Q)
 | 
98% | 
51987
 67.0 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
6606
 243.9 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
6521
 240.8 IPS  | 
|
| 
Image Super-Resolution (Q)
 | 
98% | 
8399
 311.1 IPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
774
 1.03 KIPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
809
 1.08 KIPS  | 
|
| 
Text Classification (Q)
 | 
91% | 
131
 175.7 IPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
1333
 23.0 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
1317
 22.7 IPS  | 
|
| 
Machine Translation (Q)
 | 
100% | 
1345
 23.2 IPS  |