| Upload Date | November 18 2025 07:22 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. PRO Cubi Z AI 8M (MS-B032) |
| Motherboard | Micro-Star International Co., Ltd. MS-B032 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3475
646.2 IPS |
|
|
Image Classification (HP)
|
100% |
3493
649.5 IPS |
|
|
Image Classification (Q)
|
100% |
9152
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3791
61.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3681
59.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9720
157.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6905
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
6730
7.85 IPS |
|
|
Pose Estimation (Q)
|
98% |
29107
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
2919
231.5 IPS |
|
|
Object Detection (HP)
|
100% |
2912
231.0 IPS |
|
|
Object Detection (Q)
|
88% |
9544
765.0 IPS |
|
|
Face Detection (SP)
|
100% |
5829
69.3 IPS |
|
|
Face Detection (HP)
|
100% |
5794
68.8 IPS |
|
|
Face Detection (Q)
|
100% |
23405
278.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8354
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8276
63.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
24188
188.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18459
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18587
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
60902
78.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3668
135.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3525
130.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14056
520.5 IPS |
|
|
Text Classification (SP)
|
100% |
3300
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
3119
4.16 KIPS |
|
|
Text Classification (Q)
|
92% |
5012
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5015
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5078
87.5 IPS |
|
|
Machine Translation (Q)
|
100% |
6374
109.8 IPS |