| User | 15a |
| Upload Date | May 21 2025 03:34 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7945HX3D with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited MotherBoard Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4550
846.2 IPS |
|
|
Image Classification (HP)
|
100% |
4800
892.6 IPS |
|
|
Image Classification (Q)
|
100% |
12062
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6278
101.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6011
97.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
17981
291.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14194
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14396
16.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
55403
64.9 IPS |
|
|
Object Detection (SP)
|
100% |
5233
415.1 IPS |
|
|
Object Detection (HP)
|
100% |
5141
407.8 IPS |
|
|
Object Detection (Q)
|
88% |
12964
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
12263
145.7 IPS |
|
|
Face Detection (HP)
|
100% |
12156
144.4 IPS |
|
|
Face Detection (Q)
|
100% |
33273
395.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14376
110.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14414
111.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
40393
314.4 IPS |
|
|
Style Transfer (SP)
|
100% |
36721
47.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36946
47.5 IPS |
|
|
Style Transfer (Q)
|
98% |
132965
171.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7338
271.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7458
275.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20659
765.1 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (Q)
|
92% |
3634
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5282
91.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5390
92.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5645
97.2 IPS |