| Upload Date | December 03 2025 09:36 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX PRO 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21RV0011MX |
| Motherboard | LENOVO 21RV0011MX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX PRO 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2490
463.0 IPS |
|
|
Image Classification (HP)
|
100% |
577
107.2 IPS |
|
|
Image Classification (Q)
|
99% |
4833
901.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
723
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6911
112.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4414
5.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3737
4.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
17518
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2171
172.2 IPS |
|
|
Object Detection (HP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (Q)
|
86% |
5937
477.1 IPS |
|
|
Face Detection (SP)
|
100% |
5083
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
1234
14.7 IPS |
|
|
Face Detection (Q)
|
97% |
8002
95.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5467
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1720
13.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
11855
94.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10566
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10066
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25485
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1578
58.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1530
56.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2746
101.7 IPS |
|
|
Text Classification (SP)
|
100% |
1410
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
700
933.9 IPS |
|
|
Text Classification (Q)
|
97% |
1084
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1491
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2370
47.6 IPS |