| User | paulwalsh19 |
| Upload Date | April 28 2025 04:28 AM |
| Views | 7 |
| Notes | 5900HX |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900HX with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW GTR |
| Motherboard | AZW GTR |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2662
495.0 IPS |
|
|
Image Classification (HP)
|
100% |
2140
397.9 IPS |
|
|
Image Classification (Q)
|
100% |
4698
873.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2825
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2838
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5051
82.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5145
6.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
5204
6.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
11635
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
2426
192.5 IPS |
|
|
Object Detection (HP)
|
100% |
2322
184.2 IPS |
|
|
Object Detection (Q)
|
87% |
4531
363.4 IPS |
|
|
Face Detection (SP)
|
100% |
3939
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
3994
47.5 IPS |
|
|
Face Detection (Q)
|
97% |
12676
151.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6650
51.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6748
52.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
12251
96.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14777
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14833
19.1 IPS |
|
|
Style Transfer (Q)
|
98% |
32977
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3004
110.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3018
111.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6791
251.5 IPS |
|
|
Text Classification (SP)
|
100% |
2531
3.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2671
3.57 KIPS |
|
|
Text Classification (Q)
|
91% |
1078
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3683
63.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3450
59.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3548
61.1 IPS |