| User | acnosov |
| Upload Date | March 20 2025 03:02 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.18 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 54.54 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4720
877.8 IPS |
|
|
Image Classification (HP)
|
100% |
4721
878.0 IPS |
|
|
Image Classification (Q)
|
100% |
12237
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2531
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2593
42.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11435
185.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8771
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8797
10.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
34808
40.8 IPS |
|
|
Object Detection (SP)
|
100% |
4281
339.6 IPS |
|
|
Object Detection (HP)
|
100% |
4285
339.9 IPS |
|
|
Object Detection (Q)
|
88% |
13104
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
9777
116.2 IPS |
|
|
Face Detection (HP)
|
100% |
9746
115.8 IPS |
|
|
Face Detection (Q)
|
100% |
31812
378.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11689
90.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11739
90.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
34372
267.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24095
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24358
31.3 IPS |
|
|
Style Transfer (Q)
|
98% |
91648
118.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5375
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5407
199.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18061
668.9 IPS |
|
|
Text Classification (SP)
|
100% |
4351
5.81 KIPS |
|
|
Text Classification (HP)
|
100% |
4339
5.79 KIPS |
|
|
Text Classification (Q)
|
92% |
6687
8.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
6038
104.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6065
104.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7896
136.0 IPS |