| User | AdamOp |
| Upload Date | November 11 2025 06:22 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 PRO 215 w/ Radeon 740M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 8 Mini G1a Desktop PC |
| Motherboard | HP 8DAB |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 PRO 215 w/ Radeon 740M Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 124 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1894
352.1 IPS |
|
|
Image Classification (HP)
|
100% |
1814
337.4 IPS |
|
|
Image Classification (Q)
|
100% |
6530
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5336
86.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3921
4.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4199
4.90 IPS |
|
|
Pose Estimation (Q)
|
98% |
16879
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1809
143.5 IPS |
|
|
Object Detection (HP)
|
100% |
1839
145.9 IPS |
|
|
Object Detection (Q)
|
88% |
6490
520.2 IPS |
|
|
Face Detection (SP)
|
100% |
3557
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (Q)
|
100% |
14568
173.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4895
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5205
40.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
15164
118.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11295
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11423
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
45937
59.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2489
91.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2459
90.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9189
340.3 IPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (Q)
|
92% |
3919
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2766
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3022
52.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4448
76.6 IPS |