User | Naeem_Malik |
Upload Date | April 24 2025 04:02 PM |
Views | 2 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Micro Computer (HK) Tech Limited AI Series |
Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F8BAC |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
Topology | 1 Processor, 12 Cores, 24 Threads |
Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
Base Frequency | 2.00 GHz |
Cluster 1 | 4 Cores |
Cluster 2 | 8 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
3455
642.6 IPS |
|
Image Classification (HP)
|
100% |
3490
649.0 IPS |
|
Image Classification (Q)
|
100% |
10211
1.90 KIPS |
|
Image Segmentation (SP)
|
100% |
4254
69.0 IPS |
|
Image Segmentation (HP)
|
100% |
4248
68.9 IPS |
|
Image Segmentation (Q)
|
99% |
12047
195.3 IPS |
|
Pose Estimation (SP)
|
100% |
7649
8.93 IPS |
|
Pose Estimation (HP)
|
100% |
7673
8.95 IPS |
|
Pose Estimation (Q)
|
98% |
30822
36.1 IPS |
|
Object Detection (SP)
|
100% |
3414
270.8 IPS |
|
Object Detection (HP)
|
100% |
3416
271.0 IPS |
|
Object Detection (Q)
|
88% |
9990
800.8 IPS |
|
Face Detection (SP)
|
100% |
8609
102.3 IPS |
|
Face Detection (HP)
|
100% |
9000
106.9 IPS |
|
Face Detection (Q)
|
100% |
25187
299.3 IPS |
|
Depth Estimation (SP)
|
100% |
9735
75.0 IPS |
|
Depth Estimation (HP)
|
99% |
9546
73.5 IPS |
|
Depth Estimation (Q)
|
88% |
26087
203.0 IPS |
|
Style Transfer (SP)
|
100% |
21305
27.4 IPS |
|
Style Transfer (HP)
|
100% |
21134
27.2 IPS |
|
Style Transfer (Q)
|
98% |
78419
101.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
4596
169.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
4673
172.6 IPS |
|
Image Super-Resolution (Q)
|
99% |
15221
563.7 IPS |
|
Text Classification (SP)
|
100% |
3029
4.04 KIPS |
|
Text Classification (HP)
|
100% |
3066
4.09 KIPS |
|
Text Classification (Q)
|
92% |
3831
5.15 KIPS |
|
Machine Translation (SP)
|
100% |
4622
79.6 IPS |
|
Machine Translation (HP)
|
100% |
4529
78.0 IPS |
|
Machine Translation (Q)
|
100% |
6514
112.2 IPS |