| User | Xeeva |
| Upload Date | April 23 2025 01:16 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z390 AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 AORUS ULTRA-CF |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8339
1.55 KIPS |
|
|
Image Classification (HP)
|
99% |
11061
2.06 KIPS |
|
|
Image Classification (Q)
|
100% |
5901
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11143
180.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14036
227.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8839
143.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
131458
153.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
351458
410.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
103542
121.3 IPS |
|
|
Object Detection (SP)
|
100% |
9950
789.3 IPS |
|
|
Object Detection (HP)
|
100% |
13210
1.05 KIPS |
|
|
Object Detection (Q)
|
85% |
7203
579.4 IPS |
|
|
Face Detection (SP)
|
100% |
24461
290.7 IPS |
|
|
Face Detection (HP)
|
100% |
31684
376.5 IPS |
|
|
Face Detection (Q)
|
97% |
17983
214.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
58190
448.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
91969
708.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
35355
283.2 IPS |
|
|
Style Transfer (SP)
|
100% |
236465
304.0 IPS |
|
|
Style Transfer (HP)
|
100% |
508397
653.6 IPS |
|
|
Style Transfer (Q)
|
98% |
173813
224.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33259
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40487
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19042
705.1 IPS |
|
|
Text Classification (SP)
|
100% |
2794
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
3477
4.64 KIPS |
|
|
Text Classification (Q)
|
97% |
1413
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3084
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3062
52.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1329
24.9 IPS |