| User | phytertek |
| Upload Date | November 08 2024 02:04 AM |
| Views | 7 |
| 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% |
9313
1.73 KIPS |
|
|
Image Classification (HP)
|
99% |
12877
2.40 KIPS |
|
|
Image Classification (Q)
|
100% |
5970
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14288
231.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19125
310.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
10816
175.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
167696
195.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
348113
406.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
127737
149.6 IPS |
|
|
Object Detection (SP)
|
100% |
11816
937.2 IPS |
|
|
Object Detection (HP)
|
100% |
16280
1.29 KIPS |
|
|
Object Detection (Q)
|
89% |
7570
606.0 IPS |
|
|
Face Detection (SP)
|
100% |
29022
344.8 IPS |
|
|
Face Detection (HP)
|
100% |
39577
470.3 IPS |
|
|
Face Detection (Q)
|
97% |
19081
227.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
58258
448.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
102278
788.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
34226
275.9 IPS |
|
|
Style Transfer (SP)
|
100% |
263702
339.0 IPS |
|
|
Style Transfer (HP)
|
100% |
619662
796.6 IPS |
|
|
Style Transfer (Q)
|
98% |
188291
242.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38624
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53407
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21888
810.5 IPS |
|
|
Text Classification (SP)
|
100% |
3113
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
3976
5.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1531
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3923
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3848
66.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1270
28.3 IPS |