| Upload Date | November 12 2025 07:38 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9955HX3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Raider A18 HX A9WJG |
| Motherboard | Micro-Star International Co., Ltd. MS-182L |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9955HX3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4511
839.0 IPS |
|
|
Image Classification (HP)
|
100% |
895
166.4 IPS |
|
|
Image Classification (Q)
|
99% |
11387
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1879
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
17111
278.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
25023
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15420
18.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
70106
82.2 IPS |
|
|
Object Detection (SP)
|
100% |
4530
359.3 IPS |
|
|
Object Detection (HP)
|
100% |
1107
87.8 IPS |
|
|
Object Detection (Q)
|
86% |
12248
984.4 IPS |
|
|
Face Detection (SP)
|
100% |
8602
102.2 IPS |
|
|
Face Detection (HP)
|
100% |
2413
28.7 IPS |
|
|
Face Detection (Q)
|
97% |
13047
155.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16551
127.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3979
30.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
27376
218.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42051
54.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33729
43.4 IPS |
|
|
Style Transfer (Q)
|
98% |
45455
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4097
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3410
125.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2306
85.4 IPS |
|
|
Text Classification (SP)
|
100% |
1928
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
888
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1746
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3526
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1215
20.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4473
89.9 IPS |