| User | Cruxys |
| Upload Date | January 07 2025 02:44 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z97M-D3H |
| Motherboard | Gigabyte Technology Co., Ltd. Z97M-D3H |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4771 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5815
1.08 KIPS |
|
|
Image Classification (HP)
|
99% |
8528
1.59 KIPS |
|
|
Image Classification (Q)
|
100% |
4345
808.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7394
119.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9494
153.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6279
102.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
86328
100.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
225677
263.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
69301
81.2 IPS |
|
|
Object Detection (SP)
|
100% |
6837
542.3 IPS |
|
|
Object Detection (HP)
|
100% |
10619
842.3 IPS |
|
|
Object Detection (Q)
|
85% |
5281
425.2 IPS |
|
|
Face Detection (SP)
|
100% |
15477
183.9 IPS |
|
|
Face Detection (HP)
|
100% |
20041
238.1 IPS |
|
|
Face Detection (Q)
|
97% |
12506
149.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
36185
278.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
66751
514.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
24896
199.3 IPS |
|
|
Style Transfer (SP)
|
100% |
139432
179.2 IPS |
|
|
Style Transfer (HP)
|
100% |
321628
413.5 IPS |
|
|
Style Transfer (Q)
|
98% |
109600
141.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24043
887.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33661
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14655
542.7 IPS |
|
|
Text Classification (SP)
|
100% |
2057
2.75 KIPS |
|
|
Text Classification (HP)
|
99% |
2786
3.72 KIPS |
|
|
Text Classification (Q)
|
97% |
1090
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2177
37.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2152
37.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1057
19.8 IPS |