| User | zedd137 |
| Upload Date | October 26 2024 12:41 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 PRO 7940HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 845 14 inch G10 Notebook PC |
| Motherboard | HP 8B6E |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 PRO 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3667
682.0 IPS |
|
|
Image Classification (HP)
|
100% |
3549
660.1 IPS |
|
|
Image Classification (Q)
|
100% |
9679
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1920
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8715
141.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6506
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
6448
7.52 IPS |
|
|
Pose Estimation (Q)
|
98% |
28803
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
2884
228.8 IPS |
|
|
Object Detection (HP)
|
100% |
2847
225.8 IPS |
|
|
Object Detection (Q)
|
88% |
9484
760.2 IPS |
|
|
Face Detection (SP)
|
100% |
7558
89.8 IPS |
|
|
Face Detection (HP)
|
100% |
7469
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
23767
282.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8689
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8648
66.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
24782
192.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18715
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19906
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
75211
97.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4190
154.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4404
162.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14689
544.0 IPS |
|
|
Text Classification (SP)
|
100% |
3586
4.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3640
4.86 KIPS |
|
|
Text Classification (Q)
|
92% |
5494
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4809
82.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4688
80.8 IPS |
|
|
Machine Translation (Q)
|
100% |
6152
106.0 IPS |