| User | alexsloata |
| Upload Date | April 27 2025 11:35 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B360-PLUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8400 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7898
1.47 KIPS |
|
|
Image Classification (HP)
|
99% |
11554
2.16 KIPS |
|
|
Image Classification (Q)
|
100% |
6959
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13821
224.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16210
262.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12550
204.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
135757
158.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
291176
339.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
122381
143.4 IPS |
|
|
Object Detection (SP)
|
100% |
9463
750.6 IPS |
|
|
Object Detection (HP)
|
100% |
13936
1.11 KIPS |
|
|
Object Detection (Q)
|
85% |
7981
642.5 IPS |
|
|
Face Detection (SP)
|
100% |
25125
298.5 IPS |
|
|
Face Detection (HP)
|
100% |
35008
416.0 IPS |
|
|
Face Detection (Q)
|
97% |
23336
278.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
58412
450.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
83960
646.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
44134
352.4 IPS |
|
|
Style Transfer (SP)
|
100% |
233079
299.6 IPS |
|
|
Style Transfer (HP)
|
100% |
459577
590.8 IPS |
|
|
Style Transfer (Q)
|
98% |
208788
269.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36540
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44166
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26771
991.3 IPS |
|
|
Text Classification (SP)
|
100% |
2761
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
3564
4.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1842
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3099
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3280
56.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1750
32.8 IPS |