| User | zedmanauk |
| Upload Date | September 03 2025 04:39 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7945HX with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited DeskMini Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F1FXM |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5017
933.0 IPS |
|
|
Image Classification (HP)
|
100% |
4911
913.3 IPS |
|
|
Image Classification (Q)
|
100% |
12205
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6674
108.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6559
106.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18122
293.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14293
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14428
16.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
56811
66.5 IPS |
|
|
Object Detection (SP)
|
100% |
5186
411.3 IPS |
|
|
Object Detection (HP)
|
100% |
4385
347.8 IPS |
|
|
Object Detection (Q)
|
88% |
12579
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
12210
145.1 IPS |
|
|
Face Detection (HP)
|
100% |
10730
127.5 IPS |
|
|
Face Detection (Q)
|
100% |
34594
411.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13485
103.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13656
105.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
39184
304.9 IPS |
|
|
Style Transfer (SP)
|
100% |
37639
48.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37842
48.6 IPS |
|
|
Style Transfer (Q)
|
98% |
136555
176.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7689
283.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7691
284.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21407
792.8 IPS |
|
|
Text Classification (SP)
|
100% |
3533
4.72 KIPS |
|
|
Text Classification (HP)
|
100% |
3410
4.55 KIPS |
|
|
Text Classification (Q)
|
92% |
4248
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5517
95.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5460
94.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6226
107.2 IPS |