| User | turncoat |
| Upload Date | November 11 2025 02:47 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HX with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83LT |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HX with Radeon Graphics |
| 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% |
4422
822.3 IPS |
|
|
Image Classification (HP)
|
100% |
613
114.0 IPS |
|
|
Image Classification (Q)
|
99% |
9231
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2043
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
806
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11196
182.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8396
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
9051
10.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
40153
47.1 IPS |
|
|
Object Detection (SP)
|
100% |
3925
311.4 IPS |
|
|
Object Detection (HP)
|
100% |
764
60.6 IPS |
|
|
Object Detection (Q)
|
86% |
9441
758.7 IPS |
|
|
Face Detection (SP)
|
100% |
8986
106.8 IPS |
|
|
Face Detection (HP)
|
100% |
1606
19.1 IPS |
|
|
Face Detection (Q)
|
97% |
11213
133.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10845
83.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2426
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
19445
155.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24682
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22645
29.1 IPS |
|
|
Style Transfer (Q)
|
98% |
35423
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2515
92.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2384
88.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5053
187.1 IPS |
|
|
Text Classification (SP)
|
100% |
1581
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
783
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1336
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2929
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3709
74.5 IPS |