| User | james_kwit |
| Upload Date | September 30 2025 03:09 PM |
| Views | 7 |
| 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 MotherBoard Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXL |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4999
929.6 IPS |
|
|
Image Classification (HP)
|
100% |
4720
877.7 IPS |
|
|
Image Classification (Q)
|
100% |
12601
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6864
111.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6999
113.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18005
291.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13728
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
14025
16.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
51865
60.7 IPS |
|
|
Object Detection (SP)
|
100% |
4883
387.3 IPS |
|
|
Object Detection (HP)
|
100% |
4977
394.8 IPS |
|
|
Object Detection (Q)
|
88% |
12936
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
12269
145.8 IPS |
|
|
Face Detection (HP)
|
100% |
11764
139.8 IPS |
|
|
Face Detection (Q)
|
100% |
35474
421.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12626
97.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13289
102.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
38992
303.4 IPS |
|
|
Style Transfer (SP)
|
100% |
34481
44.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35752
46.0 IPS |
|
|
Style Transfer (Q)
|
98% |
126361
162.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6931
255.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7172
264.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19992
740.4 IPS |
|
|
Text Classification (SP)
|
100% |
3248
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3341
4.46 KIPS |
|
|
Text Classification (Q)
|
92% |
4189
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5198
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5318
91.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5885
101.4 IPS |