| User | xust- |
| Upload Date | September 25 2024 05:17 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 8600G w/ Radeon 760M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASRock B650M-HDV/M.2 |
| Motherboard | ASRock B650M-HDV/M.2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3439
639.6 IPS |
|
|
Image Classification (HP)
|
100% |
3364
625.6 IPS |
|
|
Image Classification (Q)
|
100% |
9306
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1907
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7336
118.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6488
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
6568
7.66 IPS |
|
|
Pose Estimation (Q)
|
98% |
26299
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
3367
267.1 IPS |
|
|
Object Detection (HP)
|
100% |
3373
267.6 IPS |
|
|
Object Detection (Q)
|
88% |
9919
795.1 IPS |
|
|
Face Detection (SP)
|
100% |
8467
100.6 IPS |
|
|
Face Detection (HP)
|
100% |
8478
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
25064
297.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9024
69.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8997
69.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
24770
192.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18387
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18411
23.7 IPS |
|
|
Style Transfer (Q)
|
98% |
68732
88.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4109
151.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4114
151.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13809
511.4 IPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (Q)
|
92% |
5156
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5522
95.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5542
95.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7606
131.0 IPS |