| Upload Date | October 26 2025 03:52 PM |
| Views | 2 |
| 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 | Ausbalanciert |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3172
589.9 IPS |
|
|
Image Classification (HP)
|
100% |
3021
561.8 IPS |
|
|
Image Classification (Q)
|
100% |
10371
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3478
56.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3812
61.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9990
161.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7071
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
7036
8.21 IPS |
|
|
Pose Estimation (Q)
|
98% |
29122
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
2474
196.3 IPS |
|
|
Object Detection (HP)
|
100% |
2431
192.9 IPS |
|
|
Object Detection (Q)
|
88% |
10530
844.1 IPS |
|
|
Face Detection (SP)
|
100% |
4917
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
4916
58.4 IPS |
|
|
Face Detection (Q)
|
100% |
24402
289.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7931
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7780
59.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
24965
194.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18453
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18624
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
77375
99.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4138
152.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4232
156.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15074
558.2 IPS |
|
|
Text Classification (SP)
|
100% |
3791
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3816
5.09 KIPS |
|
|
Text Classification (Q)
|
92% |
5677
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3848
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3913
67.4 IPS |
|
|
Machine Translation (Q)
|
100% |
6021
103.7 IPS |