| User | gmn17 |
| Upload Date | September 08 2025 11:43 PM |
| 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% |
2564
476.8 IPS |
|
|
Image Classification (HP)
|
100% |
2649
492.6 IPS |
|
|
Image Classification (Q)
|
100% |
3922
729.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2522
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2532
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8031
130.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14204
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14083
16.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
18383
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
3162
250.8 IPS |
|
|
Object Detection (HP)
|
100% |
3171
251.5 IPS |
|
|
Object Detection (Q)
|
87% |
4924
394.9 IPS |
|
|
Face Detection (SP)
|
100% |
6866
81.6 IPS |
|
|
Face Detection (HP)
|
100% |
6773
80.5 IPS |
|
|
Face Detection (Q)
|
97% |
16148
192.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8543
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8365
64.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
13846
109.2 IPS |
|
|
Style Transfer (SP)
|
100% |
37069
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37081
47.7 IPS |
|
|
Style Transfer (Q)
|
98% |
50459
65.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6518
240.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6777
250.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8275
306.5 IPS |
|
|
Text Classification (SP)
|
100% |
1658
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1644
2.19 KIPS |
|
|
Text Classification (Q)
|
91% |
106
141.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1400
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1168
20.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1229
21.2 IPS |