| User | jcpenni |
| Upload Date | August 16 2024 12:03 AM |
| Views | 19 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z490 VISION G |
| Motherboard | Gigabyte Technology Co., Ltd. Z490 VISION G |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3736
694.7 IPS |
|
|
Image Classification (HP)
|
100% |
3540
658.3 IPS |
|
|
Image Classification (Q)
|
100% |
2967
551.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6016
97.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5100
82.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5184
84.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
41691
48.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
25771
30.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
36492
42.7 IPS |
|
|
Object Detection (SP)
|
100% |
4751
376.9 IPS |
|
|
Object Detection (HP)
|
100% |
4503
357.2 IPS |
|
|
Object Detection (Q)
|
89% |
3907
312.9 IPS |
|
|
Face Detection (SP)
|
100% |
9940
118.1 IPS |
|
|
Face Detection (HP)
|
100% |
8695
103.3 IPS |
|
|
Face Detection (Q)
|
97% |
8129
96.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23093
177.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17792
137.1 IPS |
|
|
Depth Estimation (Q)
|
73% |
16690
137.0 IPS |
|
|
Style Transfer (SP)
|
100% |
74686
96.0 IPS |
|
|
Style Transfer (HP)
|
100% |
50654
65.1 IPS |
|
|
Style Transfer (Q)
|
98% |
63195
81.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14576
538.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11175
412.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9559
354.0 IPS |
|
|
Text Classification (SP)
|
100% |
1774
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1331
1.78 KIPS |
|
|
Text Classification (Q)
|
97% |
990
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2253
38.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2333
40.3 IPS |
|
|
Machine Translation (Q)
|
60% |
979
21.8 IPS |