| User | berrob14 |
| Upload Date | February 12 2025 04:33 PM |
| Views | 5 |
| 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. Z97-D3H |
| Motherboard | Gigabyte Technology Co., Ltd. Z97-D3H-CF |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6659
1.24 KIPS |
|
|
Image Classification (HP)
|
99% |
10021
1.87 KIPS |
|
|
Image Classification (Q)
|
100% |
5031
935.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9016
146.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11994
194.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7544
122.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
92609
108.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
244612
285.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
75204
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
8040
637.7 IPS |
|
|
Object Detection (HP)
|
100% |
12388
982.6 IPS |
|
|
Object Detection (Q)
|
85% |
6203
499.4 IPS |
|
|
Face Detection (SP)
|
100% |
17780
211.3 IPS |
|
|
Face Detection (HP)
|
100% |
25368
301.4 IPS |
|
|
Face Detection (Q)
|
97% |
14470
172.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
43813
337.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
75936
585.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
28869
231.1 IPS |
|
|
Style Transfer (SP)
|
100% |
147261
189.3 IPS |
|
|
Style Transfer (HP)
|
100% |
359441
462.1 IPS |
|
|
Style Transfer (Q)
|
98% |
120261
155.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27742
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
36605
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16369
606.1 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3233
4.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1198
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2776
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2783
47.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1266
23.7 IPS |