| User | moba |
| Upload Date | March 25 2026 11:50 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. H110-PLUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6419
1.19 KIPS |
|
|
Image Classification (HP)
|
99% |
9867
1.84 KIPS |
|
|
Image Classification (Q)
|
100% |
3909
726.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
10887
176.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15974
258.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8881
144.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
99128
115.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
288550
336.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
83474
97.8 IPS |
|
|
Object Detection (SP)
|
100% |
7693
610.2 IPS |
|
|
Object Detection (HP)
|
100% |
13524
1.07 KIPS |
|
|
Object Detection (Q)
|
85% |
6581
529.8 IPS |
|
|
Face Detection (SP)
|
100% |
18253
216.9 IPS |
|
|
Face Detection (HP)
|
100% |
31335
372.3 IPS |
|
|
Face Detection (Q)
|
97% |
16103
192.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
45105
347.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
81576
628.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
29557
236.7 IPS |
|
|
Style Transfer (SP)
|
100% |
175487
225.6 IPS |
|
|
Style Transfer (HP)
|
100% |
413587
531.7 IPS |
|
|
Style Transfer (Q)
|
98% |
132204
170.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28246
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38342
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16645
616.3 IPS |
|
|
Text Classification (SP)
|
100% |
2592
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
3600
4.80 KIPS |
|
|
Text Classification (Q)
|
97% |
1221
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3304
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3319
57.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1378
25.9 IPS |