User | james_kwit |
Upload Date | September 30 2025 07:56 PM |
Views | 4 |
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% |
5005
930.9 IPS |
|
Image Classification (HP)
|
100% |
4871
905.9 IPS |
|
Image Classification (Q)
|
100% |
12985
2.41 KIPS |
|
Image Segmentation (SP)
|
100% |
6840
110.9 IPS |
|
Image Segmentation (HP)
|
100% |
7179
116.4 IPS |
|
Image Segmentation (Q)
|
99% |
18564
300.9 IPS |
|
Pose Estimation (SP)
|
100% |
14502
16.9 IPS |
|
Pose Estimation (HP)
|
100% |
14503
16.9 IPS |
|
Pose Estimation (Q)
|
98% |
57759
67.6 IPS |
|
Object Detection (SP)
|
100% |
5388
427.4 IPS |
|
Object Detection (HP)
|
100% |
5490
435.5 IPS |
|
Object Detection (Q)
|
88% |
13285
1.06 KIPS |
|
Face Detection (SP)
|
100% |
13667
162.4 IPS |
|
Face Detection (HP)
|
100% |
13800
164.0 IPS |
|
Face Detection (Q)
|
100% |
34788
413.4 IPS |
|
Depth Estimation (SP)
|
100% |
13997
107.8 IPS |
|
Depth Estimation (HP)
|
99% |
14272
110.0 IPS |
|
Depth Estimation (Q)
|
88% |
40686
316.6 IPS |
|
Style Transfer (SP)
|
100% |
38178
49.1 IPS |
|
Style Transfer (HP)
|
100% |
38639
49.7 IPS |
|
Style Transfer (Q)
|
98% |
138548
178.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
7728
285.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
7866
290.5 IPS |
|
Image Super-Resolution (Q)
|
99% |
22405
829.8 IPS |
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
Text Classification (HP)
|
100% |
3659
4.88 KIPS |
|
Text Classification (Q)
|
92% |
4147
5.57 KIPS |
|
Machine Translation (SP)
|
100% |
5644
97.2 IPS |
|
Machine Translation (HP)
|
100% |
5641
97.2 IPS |
|
Machine Translation (Q)
|
100% |
6076
104.7 IPS |