| Upload Date | February 07 2026 01:16 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HC Technology.,Ltd HCAR300_MI3 |
| Motherboard | HC Technology.,Ltd HCAR300_MI3 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8507
1.58 KIPS |
|
|
Image Classification (HP)
|
100% |
13692
2.55 KIPS |
|
|
Image Classification (Q)
|
100% |
7871
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12497
202.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16436
266.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11803
191.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
117336
136.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
354297
413.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
108675
127.3 IPS |
|
|
Object Detection (SP)
|
100% |
10357
821.5 IPS |
|
|
Object Detection (HP)
|
100% |
16327
1.30 KIPS |
|
|
Object Detection (Q)
|
83% |
8995
726.7 IPS |
|
|
Face Detection (SP)
|
100% |
24575
292.0 IPS |
|
|
Face Detection (HP)
|
100% |
36850
437.9 IPS |
|
|
Face Detection (Q)
|
97% |
22630
269.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
51865
399.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104379
804.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
42077
335.9 IPS |
|
|
Style Transfer (SP)
|
100% |
167284
215.0 IPS |
|
|
Style Transfer (HP)
|
100% |
538801
692.6 IPS |
|
|
Style Transfer (Q)
|
98% |
143965
185.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31473
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57059
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24420
904.2 IPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3898
5.20 KIPS |
|
|
Text Classification (Q)
|
97% |
2141
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3372
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3949
68.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1464
27.5 IPS |