| Upload Date | November 11 2025 10:49 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox K6 |
| Motherboard | GMKtec GMKtec |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3106
577.7 IPS |
|
|
Image Classification (HP)
|
100% |
3161
587.9 IPS |
|
|
Image Classification (Q)
|
100% |
9411
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3366
54.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3395
55.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9922
160.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6747
7.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
6817
7.95 IPS |
|
|
Pose Estimation (Q)
|
98% |
28151
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
2732
216.7 IPS |
|
|
Object Detection (HP)
|
100% |
3138
248.9 IPS |
|
|
Object Detection (Q)
|
88% |
9742
781.0 IPS |
|
|
Face Detection (SP)
|
100% |
7469
88.8 IPS |
|
|
Face Detection (HP)
|
100% |
6853
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
24025
285.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8267
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8650
66.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
23071
179.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18803
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18055
23.2 IPS |
|
|
Style Transfer (Q)
|
98% |
73268
94.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3593
132.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3898
143.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14417
533.9 IPS |
|
|
Text Classification (SP)
|
100% |
3650
4.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3599
4.80 KIPS |
|
|
Text Classification (Q)
|
92% |
5427
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4691
80.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4591
79.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5150
88.7 IPS |