User | tocomcc |
Upload Date | August 28 2025 12:26 AM |
Views | 3 |
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% |
4814
895.2 IPS |
|
Image Classification (HP)
|
100% |
4754
884.0 IPS |
|
Image Classification (Q)
|
100% |
12608
2.34 KIPS |
|
Image Segmentation (SP)
|
100% |
6269
101.6 IPS |
|
Image Segmentation (HP)
|
100% |
6118
99.2 IPS |
|
Image Segmentation (Q)
|
99% |
17790
288.4 IPS |
|
Pose Estimation (SP)
|
100% |
14084
16.4 IPS |
|
Pose Estimation (HP)
|
100% |
13680
16.0 IPS |
|
Pose Estimation (Q)
|
98% |
55634
65.1 IPS |
|
Object Detection (SP)
|
100% |
5288
419.4 IPS |
|
Object Detection (HP)
|
100% |
5270
418.0 IPS |
|
Object Detection (Q)
|
88% |
13605
1.09 KIPS |
|
Face Detection (SP)
|
100% |
12758
151.6 IPS |
|
Face Detection (HP)
|
100% |
13461
159.9 IPS |
|
Face Detection (Q)
|
100% |
32651
388.0 IPS |
|
Depth Estimation (SP)
|
100% |
13664
105.3 IPS |
|
Depth Estimation (HP)
|
99% |
13684
105.4 IPS |
|
Depth Estimation (Q)
|
88% |
40612
316.0 IPS |
|
Style Transfer (SP)
|
100% |
35573
45.7 IPS |
|
Style Transfer (HP)
|
100% |
36267
46.6 IPS |
|
Style Transfer (Q)
|
98% |
133584
172.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
7445
274.9 IPS |
|
Image Super-Resolution (HP)
|
100% |
7638
282.0 IPS |
|
Image Super-Resolution (Q)
|
99% |
21609
800.3 IPS |
|
Text Classification (SP)
|
100% |
3463
4.62 KIPS |
|
Text Classification (HP)
|
100% |
3440
4.59 KIPS |
|
Text Classification (Q)
|
92% |
4032
5.42 KIPS |
|
Machine Translation (SP)
|
100% |
5468
94.2 IPS |
|
Machine Translation (HP)
|
100% |
5537
95.4 IPS |
|
Machine Translation (Q)
|
100% |
5826
100.4 IPS |