| User | gardnerra |
| Upload Date | November 14 2025 04:05 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 880M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | TOPC TS-12C |
| Motherboard | TOPC TS-12C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000000994-38_Y |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1533
285.2 IPS |
|
|
Image Classification (HP)
|
100% |
2071
385.2 IPS |
|
|
Image Classification (Q)
|
100% |
1245
231.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2924
47.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6254
101.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2494
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24964
29.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
33554
39.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
19033
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
1478
117.2 IPS |
|
|
Object Detection (HP)
|
100% |
2202
174.7 IPS |
|
|
Object Detection (Q)
|
87% |
1368
109.9 IPS |
|
|
Face Detection (SP)
|
100% |
4267
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
5710
67.8 IPS |
|
|
Face Detection (Q)
|
97% |
3725
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10053
77.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23081
177.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
6050
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
40701
52.3 IPS |
|
|
Style Transfer (HP)
|
100% |
66588
85.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31853
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5393
199.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6720
248.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4702
174.1 IPS |
|
|
Text Classification (SP)
|
100% |
681
909.5 IPS |
|
|
Text Classification (HP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
643
861.8 IPS |
|
|
Machine Translation (SP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1099
18.9 IPS |
|
|
Machine Translation (Q)
|
70% |
476
8.94 IPS |