| User | Patrick_ServeTheHome |
| Upload Date | September 04 2025 03:20 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| 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% |
11541
2.15 KIPS |
|
|
Image Classification (HP)
|
99% |
16922
3.16 KIPS |
|
|
Image Classification (Q)
|
100% |
10223
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21645
350.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
29600
479.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19723
320.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
167093
195.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
447666
522.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
153179
179.5 IPS |
|
|
Object Detection (SP)
|
100% |
14585
1.16 KIPS |
|
|
Object Detection (HP)
|
100% |
22730
1.80 KIPS |
|
|
Object Detection (Q)
|
85% |
12288
989.2 IPS |
|
|
Face Detection (SP)
|
100% |
42231
501.8 IPS |
|
|
Face Detection (HP)
|
100% |
58872
699.5 IPS |
|
|
Face Detection (Q)
|
97% |
35668
425.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
71607
551.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
125052
966.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
55543
444.1 IPS |
|
|
Style Transfer (SP)
|
100% |
301785
387.9 IPS |
|
|
Style Transfer (HP)
|
100% |
737848
948.5 IPS |
|
|
Style Transfer (Q)
|
98% |
267529
345.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48615
1.80 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61994
2.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35087
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3409
4.55 KIPS |
|
|
Text Classification (HP)
|
99% |
4107
5.48 KIPS |
|
|
Text Classification (Q)
|
97% |
2142
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5889
101.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5809
100.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2689
50.4 IPS |