User | ClauBebe |
Upload Date | January 04 2025 09:29 PM |
Views | 2 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | AMD Ryzen 9 7945HX |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | LENOVO 82WM |
Motherboard | LENOVO LNVNB161216 |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 9 7945HX |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 2.50 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
3759
699.1 IPS |
|
Image Classification (HP)
|
100% |
573
106.6 IPS |
|
Image Classification (Q)
|
99% |
8209
1.53 KIPS |
|
Image Segmentation (SP)
|
100% |
2202
35.7 IPS |
|
Image Segmentation (HP)
|
100% |
755
12.2 IPS |
|
Image Segmentation (Q)
|
98% |
3894
63.3 IPS |
|
Pose Estimation (SP)
|
100% |
14003
16.3 IPS |
|
Pose Estimation (HP)
|
100% |
9142
10.7 IPS |
|
Pose Estimation (Q)
|
94% |
40116
47.0 IPS |
|
Object Detection (SP)
|
100% |
3820
303.0 IPS |
|
Object Detection (HP)
|
100% |
707
56.1 IPS |
|
Object Detection (Q)
|
86% |
9647
775.3 IPS |
|
Face Detection (SP)
|
100% |
7008
83.3 IPS |
|
Face Detection (HP)
|
100% |
1392
16.5 IPS |
|
Face Detection (Q)
|
97% |
11540
137.6 IPS |
|
Depth Estimation (SP)
|
100% |
11829
91.1 IPS |
|
Depth Estimation (HP)
|
99% |
2742
21.1 IPS |
|
Depth Estimation (Q)
|
78% |
19840
158.3 IPS |
|
Style Transfer (SP)
|
100% |
26850
34.5 IPS |
|
Style Transfer (HP)
|
100% |
23345
30.0 IPS |
|
Style Transfer (Q)
|
98% |
33475
43.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
2637
97.4 IPS |
|
Image Super-Resolution (HP)
|
100% |
2323
85.8 IPS |
|
Image Super-Resolution (Q)
|
99% |
3798
140.6 IPS |
|
Text Classification (SP)
|
100% |
1381
1.84 KIPS |
|
Text Classification (HP)
|
100% |
694
926.0 IPS |
|
Text Classification (Q)
|
97% |
1380
1.85 KIPS |
|
Machine Translation (SP)
|
100% |
2711
46.7 IPS |
|
Machine Translation (HP)
|
100% |
743
12.8 IPS |
|
Machine Translation (Q)
|
65% |
3619
72.7 IPS |