| User | Cosine5000 |
| Upload Date | November 09 2025 02:45 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550M-K |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7146
1.33 KIPS |
|
|
Image Classification (HP)
|
99% |
10414
1.94 KIPS |
|
|
Image Classification (Q)
|
100% |
5206
968.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
10623
172.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16451
266.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8908
144.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
100128
116.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
287983
336.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
82934
97.2 IPS |
|
|
Object Detection (SP)
|
100% |
9332
740.2 IPS |
|
|
Object Detection (HP)
|
100% |
13933
1.11 KIPS |
|
|
Object Detection (Q)
|
85% |
6892
554.8 IPS |
|
|
Face Detection (SP)
|
100% |
20660
245.5 IPS |
|
|
Face Detection (HP)
|
100% |
31700
376.7 IPS |
|
|
Face Detection (Q)
|
97% |
15191
181.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
46469
358.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
86181
664.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
30475
244.1 IPS |
|
|
Style Transfer (SP)
|
100% |
171714
220.7 IPS |
|
|
Style Transfer (HP)
|
100% |
418182
537.6 IPS |
|
|
Style Transfer (Q)
|
98% |
134373
173.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28938
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38787
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17257
639.0 IPS |
|
|
Text Classification (SP)
|
100% |
2408
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
2930
3.91 KIPS |
|
|
Text Classification (Q)
|
97% |
1314
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3277
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3407
58.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1370
25.7 IPS |