| User | ntgreatx |
| Upload Date | May 23 2025 04:26 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7945HX 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4794
891.5 IPS |
|
|
Image Classification (HP)
|
100% |
4834
898.9 IPS |
|
|
Image Classification (Q)
|
100% |
12472
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6858
111.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6947
112.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18531
300.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14439
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14525
16.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
58202
68.1 IPS |
|
|
Object Detection (SP)
|
100% |
5526
438.3 IPS |
|
|
Object Detection (HP)
|
100% |
5551
440.3 IPS |
|
|
Object Detection (Q)
|
88% |
13574
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
13089
155.5 IPS |
|
|
Face Detection (HP)
|
100% |
13403
159.3 IPS |
|
|
Face Detection (Q)
|
100% |
34778
413.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14041
108.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13763
106.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
40174
312.7 IPS |
|
|
Style Transfer (SP)
|
100% |
36945
47.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36924
47.5 IPS |
|
|
Style Transfer (Q)
|
98% |
137649
177.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7426
274.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7752
286.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20878
773.2 IPS |
|
|
Text Classification (SP)
|
100% |
3303
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
3321
4.43 KIPS |
|
|
Text Classification (Q)
|
92% |
4165
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5432
93.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5226
90.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6762
116.5 IPS |