| User | gmn17 |
| Upload Date | September 16 2025 12:18 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 Balanced |
| 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% |
2712
504.3 IPS |
|
|
Image Classification (HP)
|
100% |
2678
498.1 IPS |
|
|
Image Classification (Q)
|
100% |
4016
746.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2551
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2588
42.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8188
133.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14401
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14450
16.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
18360
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
3241
257.1 IPS |
|
|
Object Detection (HP)
|
100% |
3106
246.3 IPS |
|
|
Object Detection (Q)
|
87% |
4955
397.4 IPS |
|
|
Face Detection (SP)
|
100% |
6697
79.6 IPS |
|
|
Face Detection (HP)
|
100% |
6837
81.2 IPS |
|
|
Face Detection (Q)
|
97% |
16671
198.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8604
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8817
67.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
13634
107.5 IPS |
|
|
Style Transfer (SP)
|
100% |
38682
49.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38247
49.2 IPS |
|
|
Style Transfer (Q)
|
98% |
51131
65.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6733
248.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6710
247.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8285
306.9 IPS |
|
|
Text Classification (SP)
|
100% |
1700
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1695
2.26 KIPS |
|
|
Text Classification (Q)
|
91% |
107
144.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1307
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1107
19.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1081
18.6 IPS |