| User | gmn17 |
| Upload Date | February 24 2026 01:57 AM |
| Views | 8 |
| 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% |
2525
469.6 IPS |
|
|
Image Classification (HP)
|
100% |
2522
469.0 IPS |
|
|
Image Classification (Q)
|
100% |
3795
705.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2446
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2445
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8268
134.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13500
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13215
15.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
18261
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2524
200.2 IPS |
|
|
Object Detection (HP)
|
100% |
3011
238.8 IPS |
|
|
Object Detection (Q)
|
87% |
4534
363.7 IPS |
|
|
Face Detection (SP)
|
100% |
5386
64.0 IPS |
|
|
Face Detection (HP)
|
100% |
5542
65.8 IPS |
|
|
Face Detection (Q)
|
97% |
15615
186.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7193
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7164
55.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
13373
105.4 IPS |
|
|
Style Transfer (SP)
|
100% |
36671
47.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36465
46.9 IPS |
|
|
Style Transfer (Q)
|
98% |
51493
66.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6461
238.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6796
250.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8190
303.4 IPS |
|
|
Text Classification (SP)
|
100% |
1454
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1431
1.91 KIPS |
|
|
Text Classification (Q)
|
91% |
122
164.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1392
24.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1265
21.8 IPS |