| User | nithinmohantk |
| Upload Date | March 11 2026 01:41 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| 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% |
7679
1.43 KIPS |
|
|
Image Classification (HP)
|
99% |
10594
1.98 KIPS |
|
|
Image Classification (Q)
|
100% |
5489
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10389
168.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13358
216.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8592
139.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
157768
184.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
311349
363.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
118636
139.0 IPS |
|
|
Object Detection (SP)
|
100% |
9672
767.2 IPS |
|
|
Object Detection (HP)
|
100% |
12725
1.01 KIPS |
|
|
Object Detection (Q)
|
85% |
7109
571.9 IPS |
|
|
Face Detection (SP)
|
100% |
24540
291.6 IPS |
|
|
Face Detection (HP)
|
100% |
31098
369.5 IPS |
|
|
Face Detection (Q)
|
97% |
17616
210.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
58466
450.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95804
738.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
35218
282.0 IPS |
|
|
Style Transfer (SP)
|
100% |
243361
312.8 IPS |
|
|
Style Transfer (HP)
|
100% |
528274
679.1 IPS |
|
|
Style Transfer (Q)
|
98% |
177522
228.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33256
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45853
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20085
743.7 IPS |
|
|
Text Classification (SP)
|
100% |
2450
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3081
4.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1292
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2991
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2773
47.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1288
24.2 IPS |