| User | DrChandra |
| Upload Date | February 22 2026 07:38 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8745HX with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83LT |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8745HX with Radeon Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4640
862.8 IPS |
|
|
Image Classification (HP)
|
100% |
4611
857.6 IPS |
|
|
Image Classification (Q)
|
100% |
12293
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4944
80.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4850
78.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
12973
210.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7950
9.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
7892
9.21 IPS |
|
|
Pose Estimation (Q)
|
98% |
31064
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
4060
322.1 IPS |
|
|
Object Detection (HP)
|
100% |
4072
323.0 IPS |
|
|
Object Detection (Q)
|
88% |
12139
973.1 IPS |
|
|
Face Detection (SP)
|
100% |
10101
120.0 IPS |
|
|
Face Detection (HP)
|
100% |
10040
119.3 IPS |
|
|
Face Detection (Q)
|
100% |
30192
358.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9975
76.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10081
77.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
31952
248.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21464
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21498
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
83915
108.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4824
178.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4820
178.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16030
593.7 IPS |
|
|
Text Classification (SP)
|
100% |
4074
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
4024
5.37 KIPS |
|
|
Text Classification (Q)
|
92% |
6056
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
6640
114.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6800
117.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9870
170.0 IPS |