| User | Patrick_ServeTheHome |
| Upload Date | September 04 2025 07:22 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| 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 DRFXI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13624
2.53 KIPS |
|
|
Image Classification (HP)
|
100% |
19647
3.65 KIPS |
|
|
Image Classification (Q)
|
100% |
11600
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28073
455.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
41007
664.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
25039
407.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
227094
265.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
726227
847.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
195784
229.3 IPS |
|
|
Object Detection (SP)
|
100% |
18803
1.49 KIPS |
|
|
Object Detection (HP)
|
100% |
28831
2.29 KIPS |
|
|
Object Detection (Q)
|
86% |
16085
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
56586
672.4 IPS |
|
|
Face Detection (HP)
|
100% |
84295
1.00 KIPS |
|
|
Face Detection (Q)
|
97% |
45310
540.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
87438
673.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
164551
1.27 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64824
517.7 IPS |
|
|
Style Transfer (SP)
|
100% |
336689
432.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1103434
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
288550
372.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53412
1.97 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80623
2.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40028
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3474
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4288
5.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2200
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
7200
124.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7098
122.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3025
56.7 IPS |