| User | paulwalsh19 |
| Upload Date | April 28 2025 05:19 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 6800U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited Mercury series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BRC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 6800U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2064
383.8 IPS |
|
|
Image Classification (HP)
|
100% |
1773
329.7 IPS |
|
|
Image Classification (Q)
|
100% |
3317
616.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
937
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
972
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4205
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3667
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3845
4.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
10231
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1621
128.6 IPS |
|
|
Object Detection (HP)
|
100% |
1718
136.2 IPS |
|
|
Object Detection (Q)
|
87% |
3523
282.6 IPS |
|
|
Face Detection (SP)
|
100% |
3905
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
3593
42.7 IPS |
|
|
Face Detection (Q)
|
97% |
7527
89.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5295
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4859
37.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
9157
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10388
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10043
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28034
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2268
83.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2352
86.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6363
235.7 IPS |
|
|
Text Classification (SP)
|
100% |
1833
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1918
2.56 KIPS |
|
|
Text Classification (Q)
|
91% |
1029
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2953
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3064
52.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2797
48.2 IPS |