| User | StingerYar |
| Upload Date | November 12 2024 02:58 PM |
| Views | 20 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium Gold G7400 |
| 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 Pentium Gold G7400 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1057
196.6 IPS |
|
|
Image Classification (HP)
|
100% |
495
92.1 IPS |
|
|
Image Classification (Q)
|
99% |
2055
383.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
933
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2205
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2318
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
1985
2.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
8185
9.59 IPS |
|
|
Object Detection (SP)
|
100% |
1099
87.2 IPS |
|
|
Object Detection (HP)
|
100% |
577
45.7 IPS |
|
|
Object Detection (Q)
|
88% |
1387
111.2 IPS |
|
|
Face Detection (SP)
|
100% |
2528
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
1381
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
3572
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2972
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1615
12.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
5160
41.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5800
7.46 IPS |
|
|
Style Transfer (HP)
|
100% |
4810
6.18 IPS |
|
|
Style Transfer (Q)
|
98% |
12626
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1327
49.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1119
41.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3066
113.5 IPS |
|
|
Text Classification (SP)
|
100% |
1354
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1883
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1721
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
749
12.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2305
51.4 IPS |