| Upload Date | December 07 2025 05:24 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8700F 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP OMEN 16L Gaming Desktop TG03-0xxx |
| Motherboard | HP 8D31 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700F |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3826
711.6 IPS |
|
|
Image Classification (HP)
|
100% |
3788
704.5 IPS |
|
|
Image Classification (Q)
|
100% |
11491
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4124
66.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4002
64.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12192
197.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7683
8.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
7688
8.97 IPS |
|
|
Pose Estimation (Q)
|
98% |
30397
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
3523
279.5 IPS |
|
|
Object Detection (HP)
|
100% |
3636
288.4 IPS |
|
|
Object Detection (Q)
|
88% |
11326
907.9 IPS |
|
|
Face Detection (SP)
|
100% |
7875
93.6 IPS |
|
|
Face Detection (HP)
|
100% |
7879
93.6 IPS |
|
|
Face Detection (Q)
|
100% |
27969
332.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9720
74.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9810
75.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
28846
224.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21209
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21087
27.1 IPS |
|
|
Style Transfer (Q)
|
98% |
78732
101.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4559
168.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4546
167.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15940
590.3 IPS |
|
|
Text Classification (SP)
|
100% |
3808
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3627
4.84 KIPS |
|
|
Text Classification (Q)
|
92% |
5984
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5295
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5603
96.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7760
133.7 IPS |