| User | kinski |
| Upload Date | September 04 2025 11:43 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HX with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited MotherBoard Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXL |
| Power Plan | Tasakaalustatud |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HX with Radeon Graphics |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4761
885.4 IPS |
|
|
Image Classification (HP)
|
100% |
4881
907.8 IPS |
|
|
Image Classification (Q)
|
100% |
13013
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6757
109.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6728
109.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18501
299.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14615
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14834
17.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
58462
68.4 IPS |
|
|
Object Detection (SP)
|
100% |
5363
425.4 IPS |
|
|
Object Detection (HP)
|
100% |
5437
431.2 IPS |
|
|
Object Detection (Q)
|
88% |
13789
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
12972
154.1 IPS |
|
|
Face Detection (HP)
|
100% |
12860
152.8 IPS |
|
|
Face Detection (Q)
|
100% |
31933
379.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14143
109.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14310
110.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
43224
336.4 IPS |
|
|
Style Transfer (SP)
|
100% |
38138
49.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38701
49.8 IPS |
|
|
Style Transfer (Q)
|
98% |
141408
182.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7846
289.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7871
290.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23128
856.5 IPS |
|
|
Text Classification (SP)
|
100% |
3336
4.45 KIPS |
|
|
Text Classification (HP)
|
100% |
3363
4.49 KIPS |
|
|
Text Classification (Q)
|
92% |
3907
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
5598
96.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5341
92.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5783
99.6 IPS |