| User | SlippingStaff |
| Upload Date | May 14 2025 01:36 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SER9 |
| Motherboard | AZW SER9 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2501
465.0 IPS |
|
|
Image Classification (HP)
|
100% |
473
87.9 IPS |
|
|
Image Classification (Q)
|
99% |
6473
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3282
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6992
8.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
5718
6.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
26675
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
2493
197.7 IPS |
|
|
Object Detection (HP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (Q)
|
86% |
6778
544.8 IPS |
|
|
Face Detection (SP)
|
100% |
5523
65.6 IPS |
|
|
Face Detection (HP)
|
100% |
1454
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
10455
124.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7476
57.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2397
18.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6661
53.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15021
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13765
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
32344
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2097
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1989
73.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3298
122.1 IPS |
|
|
Text Classification (SP)
|
100% |
1296
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
636
848.7 IPS |
|
|
Text Classification (Q)
|
97% |
1454
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2096
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3282
65.9 IPS |