| User | kobush |
| Upload Date | December 15 2024 06:54 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 7960X 24-Cores |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Gigabyte Technology Co., Ltd. TRX50 AERO D |
| Motherboard | Gigabyte Technology Co., Ltd. TRX50 AERO D |
| Power Plan | Balanced |
| 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% |
3280
610.0 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.5 IPS |
|
|
Image Classification (Q)
|
99% |
5898
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1774
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3814
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18106
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
7928
9.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
46659
54.7 IPS |
|
|
Object Detection (SP)
|
100% |
3465
274.8 IPS |
|
|
Object Detection (HP)
|
100% |
488
38.7 IPS |
|
|
Object Detection (Q)
|
86% |
8121
652.7 IPS |
|
|
Face Detection (SP)
|
100% |
7647
90.9 IPS |
|
|
Face Detection (HP)
|
100% |
1334
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
11226
133.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14942
115.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2229
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
12744
101.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22071
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17367
22.3 IPS |
|
|
Style Transfer (Q)
|
98% |
39701
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1470
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1272
47.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1979
73.3 IPS |
|
|
Text Classification (SP)
|
100% |
917
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
386
514.9 IPS |
|
|
Text Classification (Q)
|
97% |
1192
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1704
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
471
8.11 IPS |
|
|
Machine Translation (Q)
|
65% |
2745
55.1 IPS |