| User | phytertek |
| Upload Date | November 08 2024 01:37 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| 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 | 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9297
1.73 KIPS |
|
|
Image Classification (HP)
|
99% |
12682
2.37 KIPS |
|
|
Image Classification (Q)
|
100% |
5971
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14290
231.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19159
310.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10950
178.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
168161
196.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
345065
402.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
122844
143.9 IPS |
|
|
Object Detection (SP)
|
100% |
11808
936.6 IPS |
|
|
Object Detection (HP)
|
100% |
16226
1.29 KIPS |
|
|
Object Detection (Q)
|
89% |
7513
601.4 IPS |
|
|
Face Detection (SP)
|
100% |
29023
344.9 IPS |
|
|
Face Detection (HP)
|
100% |
39664
471.3 IPS |
|
|
Face Detection (Q)
|
97% |
18822
224.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
57843
445.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
101748
783.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
34496
278.0 IPS |
|
|
Style Transfer (SP)
|
100% |
259687
333.8 IPS |
|
|
Style Transfer (HP)
|
100% |
614396
789.8 IPS |
|
|
Style Transfer (Q)
|
98% |
186021
239.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38451
1.42 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53143
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21799
807.2 IPS |
|
|
Text Classification (SP)
|
100% |
2994
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
3792
5.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1494
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3807
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3733
64.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1259
28.1 IPS |