| User | Redwoodz |
| Upload Date | November 10 2024 12:17 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650E Steel Legend WiFi |
| Motherboard | ASRock B650E Steel Legend WiFi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6952
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
6960
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
16160
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6426
104.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6416
104.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
14455
234.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13200
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
13130
15.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
51953
60.8 IPS |
|
|
Object Detection (SP)
|
100% |
6395
507.2 IPS |
|
|
Object Detection (HP)
|
100% |
6475
513.6 IPS |
|
|
Object Detection (Q)
|
88% |
17448
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
14133
167.9 IPS |
|
|
Face Detection (HP)
|
100% |
14124
167.8 IPS |
|
|
Face Detection (Q)
|
100% |
41598
494.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15906
122.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15963
123.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
47626
370.6 IPS |
|
|
Style Transfer (SP)
|
100% |
36782
47.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36468
46.9 IPS |
|
|
Style Transfer (Q)
|
98% |
133468
172.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8430
311.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8462
312.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26102
966.7 IPS |
|
|
Text Classification (SP)
|
100% |
5461
7.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5461
7.29 KIPS |
|
|
Text Classification (Q)
|
92% |
8144
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
8445
145.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8598
148.1 IPS |
|
|
Machine Translation (Q)
|
100% |
10519
181.2 IPS |