| User | Sprefournier |
| Upload Date | April 28 2025 02:39 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650I AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. B650I AORUS ULTRA |
| Power Plan | Utilisation normale |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3918
728.6 IPS |
|
|
Image Classification (HP)
|
100% |
4005
744.8 IPS |
|
|
Image Classification (Q)
|
100% |
11372
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4165
67.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4257
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12291
199.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7889
9.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
8027
9.37 IPS |
|
|
Pose Estimation (Q)
|
98% |
31520
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
3655
289.9 IPS |
|
|
Object Detection (HP)
|
100% |
3655
289.9 IPS |
|
|
Object Detection (Q)
|
88% |
11522
923.6 IPS |
|
|
Face Detection (SP)
|
100% |
8431
100.2 IPS |
|
|
Face Detection (HP)
|
100% |
8427
100.1 IPS |
|
|
Face Detection (Q)
|
100% |
27607
328.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9979
76.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10101
77.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
29017
225.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21804
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21944
28.2 IPS |
|
|
Style Transfer (Q)
|
98% |
81314
104.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4616
170.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4675
172.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15669
580.3 IPS |
|
|
Text Classification (SP)
|
100% |
3849
5.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3881
5.18 KIPS |
|
|
Text Classification (Q)
|
92% |
5508
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5800
99.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5834
100.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7888
135.9 IPS |