| User | taruntom1 |
| Upload Date | September 28 2024 01:42 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83DX |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5774
1.07 KIPS |
|
|
Image Classification (HP)
|
99% |
10903
2.03 KIPS |
|
|
Image Classification (Q)
|
100% |
5166
960.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
10382
168.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14315
232.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9397
152.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
67553
78.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
216800
253.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
59798
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
7132
565.8 IPS |
|
|
Object Detection (HP)
|
100% |
12095
959.4 IPS |
|
|
Object Detection (Q)
|
89% |
5982
478.8 IPS |
|
|
Face Detection (SP)
|
100% |
14891
176.9 IPS |
|
|
Face Detection (HP)
|
100% |
23886
283.8 IPS |
|
|
Face Detection (Q)
|
97% |
12178
145.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
31383
241.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
65453
504.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
26150
210.1 IPS |
|
|
Style Transfer (SP)
|
100% |
119810
154.0 IPS |
|
|
Style Transfer (HP)
|
100% |
297690
382.7 IPS |
|
|
Style Transfer (Q)
|
98% |
107101
138.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24598
908.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40324
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17967
665.3 IPS |
|
|
Text Classification (SP)
|
100% |
3010
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3538
4.72 KIPS |
|
|
Text Classification (Q)
|
97% |
1881
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3411
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3878
66.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1515
33.8 IPS |