| User | farjam |
| Upload Date | August 18 2024 01:27 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z370 AORUS Gaming 7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z370 AORUS Gaming 7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7235
1.35 KIPS |
|
|
Image Classification (HP)
|
99% |
10728
2.00 KIPS |
|
|
Image Classification (Q)
|
100% |
5045
938.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
10910
176.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14471
234.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8876
144.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
115778
135.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
298939
348.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
92656
108.5 IPS |
|
|
Object Detection (SP)
|
100% |
9395
745.2 IPS |
|
|
Object Detection (HP)
|
100% |
14356
1.14 KIPS |
|
|
Object Detection (Q)
|
88% |
6934
556.1 IPS |
|
|
Face Detection (SP)
|
100% |
20332
241.6 IPS |
|
|
Face Detection (HP)
|
100% |
29092
345.7 IPS |
|
|
Face Detection (Q)
|
97% |
15138
180.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
46455
357.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
84792
653.3 IPS |
|
|
Depth Estimation (Q)
|
69% |
28651
242.7 IPS |
|
|
Style Transfer (SP)
|
100% |
186675
240.0 IPS |
|
|
Style Transfer (HP)
|
100% |
439526
565.0 IPS |
|
|
Style Transfer (Q)
|
98% |
144878
186.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33573
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42319
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19253
712.9 IPS |
|
|
Text Classification (SP)
|
100% |
2788
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
3533
4.72 KIPS |
|
|
Text Classification (Q)
|
97% |
1411
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3120
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3150
54.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1152
25.7 IPS |