| User | StingerYar |
| Upload Date | November 08 2024 11:36 AM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-14100F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-14100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 5 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1571
292.2 IPS |
|
|
Image Classification (HP)
|
100% |
540
100.5 IPS |
|
|
Image Classification (Q)
|
99% |
2880
537.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2645
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3890
4.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3307
3.86 IPS |
|
|
Pose Estimation (Q)
|
95% |
13300
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1624
128.8 IPS |
|
|
Object Detection (HP)
|
100% |
681
54.1 IPS |
|
|
Object Detection (Q)
|
88% |
1646
132.0 IPS |
|
|
Face Detection (SP)
|
100% |
2488
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
1624
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
3634
43.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4831
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1933
14.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
6524
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8758
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6903
8.87 IPS |
|
|
Style Transfer (Q)
|
98% |
17992
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1899
70.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1047
38.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3211
118.9 IPS |
|
|
Text Classification (SP)
|
100% |
1263
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
609
812.9 IPS |
|
|
Text Classification (Q)
|
97% |
1648
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2170
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2445
54.5 IPS |