| Upload Date | November 01 2025 01:58 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 7960X 24-Cores |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. TRX50 AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. TRX50 AI TOP |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 7960X 24-Cores |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4552
846.6 IPS |
|
|
Image Classification (HP)
|
100% |
4519
840.3 IPS |
|
|
Image Classification (Q)
|
100% |
9685
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6515
105.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4687
76.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16711
270.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15804
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
9126
10.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
46033
53.9 IPS |
|
|
Object Detection (SP)
|
100% |
5327
422.6 IPS |
|
|
Object Detection (HP)
|
100% |
5121
406.2 IPS |
|
|
Object Detection (Q)
|
88% |
11752
942.1 IPS |
|
|
Face Detection (SP)
|
100% |
13225
157.1 IPS |
|
|
Face Detection (HP)
|
100% |
10777
128.1 IPS |
|
|
Face Detection (Q)
|
100% |
34329
407.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14054
108.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10302
79.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
32945
256.4 IPS |
|
|
Style Transfer (SP)
|
100% |
38709
49.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34789
44.7 IPS |
|
|
Style Transfer (Q)
|
98% |
139681
180.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7669
283.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4794
177.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19347
716.5 IPS |
|
|
Text Classification (SP)
|
100% |
2754
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2752
3.67 KIPS |
|
|
Text Classification (Q)
|
92% |
2969
3.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4019
69.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4618
79.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4969
85.6 IPS |