| Upload Date | August 15 2024 03:38 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6500 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z590 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z590 AORUS ELITE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2736
508.9 IPS |
|
|
Image Classification (HP)
|
100% |
3039
565.1 IPS |
|
|
Image Classification (Q)
|
100% |
2370
440.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4292
69.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4426
71.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3772
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
49547
57.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
81170
94.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
41486
48.6 IPS |
|
|
Object Detection (SP)
|
100% |
3663
290.6 IPS |
|
|
Object Detection (HP)
|
100% |
3720
295.1 IPS |
|
|
Object Detection (Q)
|
89% |
3170
253.7 IPS |
|
|
Face Detection (SP)
|
100% |
9139
108.6 IPS |
|
|
Face Detection (HP)
|
100% |
11880
141.2 IPS |
|
|
Face Detection (Q)
|
97% |
7083
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
22904
176.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
29726
229.0 IPS |
|
|
Depth Estimation (Q)
|
73% |
17454
142.5 IPS |
|
|
Style Transfer (SP)
|
100% |
95025
122.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120349
154.7 IPS |
|
|
Style Transfer (Q)
|
98% |
74957
96.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16378
604.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19797
731.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11112
411.5 IPS |
|
|
Text Classification (SP)
|
100% |
2033
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
843
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1213
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2128
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2161
37.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1063
23.7 IPS |