| User | flark |
| Upload Date | February 24 2026 02:46 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Bosgame BeyondMax Series |
| Motherboard | Bosgame ARB19D-03 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3487
648.5 IPS |
|
|
Image Classification (HP)
|
100% |
3669
682.3 IPS |
|
|
Image Classification (Q)
|
100% |
10055
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3802
61.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3845
62.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10471
169.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7179
8.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
7208
8.41 IPS |
|
|
Pose Estimation (Q)
|
98% |
26480
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
3089
245.0 IPS |
|
|
Object Detection (HP)
|
100% |
3065
243.1 IPS |
|
|
Object Detection (Q)
|
88% |
9481
760.0 IPS |
|
|
Face Detection (SP)
|
100% |
7610
90.4 IPS |
|
|
Face Detection (HP)
|
100% |
7501
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
25079
298.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9035
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8890
68.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
25694
200.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19166
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19477
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
69994
90.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4159
153.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4160
153.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13949
516.6 IPS |
|
|
Text Classification (SP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (Q)
|
92% |
5212
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5170
89.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4708
81.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6820
117.5 IPS |