| Upload Date | November 15 2025 02:48 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M K |
| Motherboard | Gigabyte Technology Co., Ltd. B650M K |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3890
723.4 IPS |
|
|
Image Classification (HP)
|
100% |
3694
687.0 IPS |
|
|
Image Classification (Q)
|
100% |
11661
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4299
69.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4276
69.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11513
186.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8190
9.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
8190
9.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
33445
39.2 IPS |
|
|
Object Detection (SP)
|
100% |
3660
290.3 IPS |
|
|
Object Detection (HP)
|
100% |
3659
290.2 IPS |
|
|
Object Detection (Q)
|
88% |
12458
998.6 IPS |
|
|
Face Detection (SP)
|
100% |
5992
71.2 IPS |
|
|
Face Detection (HP)
|
100% |
6090
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
29431
349.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10345
79.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10284
79.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
30280
235.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22126
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22119
28.4 IPS |
|
|
Style Transfer (Q)
|
98% |
88079
113.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4885
180.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4868
179.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16979
628.8 IPS |
|
|
Text Classification (SP)
|
100% |
4176
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4119
5.50 KIPS |
|
|
Text Classification (Q)
|
92% |
5900
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5321
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5266
90.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7760
133.7 IPS |