| User | nithinmohantk |
| Upload Date | March 03 2026 12:59 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited Venus series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BSD |
| Power Plan | AMD Ryzen Balanced |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9356
1.74 KIPS |
|
|
Image Classification (HP)
|
100% |
9683
1.80 KIPS |
|
|
Image Classification (Q)
|
99% |
9134
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8320
134.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8844
143.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9195
149.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
181053
211.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
421449
491.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
165538
193.9 IPS |
|
|
Object Detection (SP)
|
100% |
8783
696.6 IPS |
|
|
Object Detection (HP)
|
99% |
10804
857.0 IPS |
|
|
Object Detection (Q)
|
87% |
9306
747.4 IPS |
|
|
Face Detection (SP)
|
100% |
23726
281.9 IPS |
|
|
Face Detection (HP)
|
100% |
25877
307.5 IPS |
|
|
Face Detection (Q)
|
97% |
22571
269.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
69311
534.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
93068
717.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
59860
479.7 IPS |
|
|
Style Transfer (SP)
|
100% |
312004
401.1 IPS |
|
|
Style Transfer (HP)
|
100% |
481171
618.6 IPS |
|
|
Style Transfer (Q)
|
98% |
289870
373.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38168
1.41 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52423
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33022
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3083
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3139
4.19 KIPS |
|
|
Text Classification (Q)
|
97% |
2436
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2511
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2565
44.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1883
35.3 IPS |