| User | Bustycat |
| Upload Date | August 16 2024 01:34 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z370 AORUS Gaming 3 |
| Motherboard | Gigabyte Technology Co., Ltd. Z370 AORUS Gaming 3 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1126
209.4 IPS |
|
|
Image Classification (HP)
|
100% |
107
19.9 IPS |
|
|
Image Classification (Q)
|
97% |
2009
374.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
857
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
169
2.75 IPS |
|
|
Image Segmentation (Q)
|
97% |
1492
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4700
5.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
3759
4.39 IPS |
|
|
Pose Estimation (Q)
|
87% |
8190
9.67 IPS |
|
|
Object Detection (SP)
|
100% |
1453
115.3 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (Q)
|
86% |
1416
113.9 IPS |
|
|
Face Detection (SP)
|
100% |
1790
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
215
2.56 IPS |
|
|
Face Detection (Q)
|
96% |
2826
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4803
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
703
5.41 IPS |
|
|
Depth Estimation (Q)
|
76% |
4354
35.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10856
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8572
11.0 IPS |
|
|
Style Transfer (Q)
|
87% |
11276
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1986
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1652
61.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2325
86.2 IPS |
|
|
Text Classification (SP)
|
100% |
1353
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
580
774.5 IPS |
|
|
Text Classification (Q)
|
97% |
405
542.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1554
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.55 IPS |
|
|
Machine Translation (Q)
|
60% |
1348
30.1 IPS |