| Upload Date | October 31 2024 11:50 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 PRO 6950H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox M7 Pro |
| Motherboard | GMKtec NucBox M7 Pro |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 PRO 6950H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2799
520.5 IPS |
|
|
Image Classification (HP)
|
100% |
2957
549.9 IPS |
|
|
Image Classification (Q)
|
100% |
4819
896.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1187
19.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4051
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5863
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
5894
6.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
12415
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
2627
208.4 IPS |
|
|
Object Detection (HP)
|
100% |
2646
209.9 IPS |
|
|
Object Detection (Q)
|
87% |
4612
369.9 IPS |
|
|
Face Detection (SP)
|
100% |
5909
70.2 IPS |
|
|
Face Detection (HP)
|
100% |
5660
67.3 IPS |
|
|
Face Detection (Q)
|
97% |
13151
156.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7622
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7630
58.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
12703
100.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16397
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16684
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
35464
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3452
127.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3421
126.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7310
270.8 IPS |
|
|
Text Classification (SP)
|
100% |
1480
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
1537
2.05 KIPS |
|
|
Text Classification (Q)
|
91% |
1293
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3812
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3832
66.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3873
66.7 IPS |