| User | BacContext |
| Upload Date | June 05 2025 08:05 PM |
| Views | 4 |
| 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 | GMKtec NucBox K8 Plus |
| Motherboard | GMKtec NucBox K8 Plus |
| Power Plan | Balanced |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4125
767.0 IPS |
|
|
Image Classification (HP)
|
100% |
4090
760.7 IPS |
|
|
Image Classification (Q)
|
100% |
11750
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4338
70.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4579
74.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12143
196.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8055
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
8109
9.46 IPS |
|
|
Pose Estimation (Q)
|
98% |
32303
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
3603
285.8 IPS |
|
|
Object Detection (HP)
|
100% |
3600
285.6 IPS |
|
|
Object Detection (Q)
|
88% |
11929
956.2 IPS |
|
|
Face Detection (SP)
|
100% |
8607
102.3 IPS |
|
|
Face Detection (HP)
|
100% |
8669
103.0 IPS |
|
|
Face Detection (Q)
|
100% |
27965
332.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9999
77.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10040
77.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
29963
233.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22259
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22452
28.9 IPS |
|
|
Style Transfer (Q)
|
98% |
84851
109.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4852
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4891
180.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16495
610.9 IPS |
|
|
Text Classification (SP)
|
100% |
3941
5.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3977
5.31 KIPS |
|
|
Text Classification (Q)
|
92% |
6003
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5939
102.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6020
103.7 IPS |
|
|
Machine Translation (Q)
|
100% |
8209
141.4 IPS |