User | tocomcc |
Upload Date | August 28 2025 12:28 AM |
Views | 2 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 5070 |
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% |
10776
2.00 KIPS |
|
Image Classification (HP)
|
100% |
18736
3.48 KIPS |
|
Image Classification (Q)
|
100% |
9898
1.84 KIPS |
|
Image Segmentation (SP)
|
100% |
23045
373.6 IPS |
|
Image Segmentation (HP)
|
100% |
36321
588.8 IPS |
|
Image Segmentation (Q)
|
98% |
20605
335.1 IPS |
|
Pose Estimation (SP)
|
100% |
167437
195.4 IPS |
|
Pose Estimation (HP)
|
100% |
495230
577.9 IPS |
|
Pose Estimation (Q)
|
96% |
143011
167.5 IPS |
|
Object Detection (SP)
|
100% |
15558
1.23 KIPS |
|
Object Detection (HP)
|
100% |
26661
2.11 KIPS |
|
Object Detection (Q)
|
83% |
12950
1.05 KIPS |
|
Face Detection (SP)
|
100% |
42968
510.5 IPS |
|
Face Detection (HP)
|
100% |
66803
793.8 IPS |
|
Face Detection (Q)
|
97% |
35714
425.8 IPS |
|
Depth Estimation (SP)
|
100% |
68826
530.3 IPS |
|
Depth Estimation (HP)
|
99% |
134552
1.04 KIPS |
|
Depth Estimation (Q)
|
78% |
54493
434.9 IPS |
|
Style Transfer (SP)
|
100% |
227902
293.0 IPS |
|
Style Transfer (HP)
|
100% |
807846
1.04 KIPS |
|
Style Transfer (Q)
|
98% |
199671
257.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
40661
1.50 KIPS |
|
Image Super-Resolution (HP)
|
100% |
75083
2.77 KIPS |
|
Image Super-Resolution (Q)
|
99% |
32619
1.21 KIPS |
|
Text Classification (SP)
|
100% |
3479
4.64 KIPS |
|
Text Classification (HP)
|
100% |
4154
5.54 KIPS |
|
Text Classification (Q)
|
97% |
2183
2.92 KIPS |
|
Machine Translation (SP)
|
100% |
6812
117.3 IPS |
|
Machine Translation (HP)
|
100% |
6979
120.2 IPS |
|
Machine Translation (Q)
|
70% |
3003
56.3 IPS |