| User | tobyg |
| Upload Date | January 14 2025 08:44 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z390 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 AORUS MASTER-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 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2437
453.2 IPS |
|
|
Image Classification (HP)
|
100% |
3783
703.5 IPS |
|
|
Image Classification (Q)
|
99% |
2103
392.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5551
90.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5440
88.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4497
73.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7874
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
14539
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
2585
3.03 IPS |
|
|
Object Detection (SP)
|
100% |
3131
248.3 IPS |
|
|
Object Detection (HP)
|
100% |
4736
375.7 IPS |
|
|
Object Detection (Q)
|
84% |
2637
212.7 IPS |
|
|
Face Detection (SP)
|
100% |
1376
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
9397
111.7 IPS |
|
|
Face Detection (Q)
|
97% |
341
4.06 IPS |
|
|
Depth Estimation (SP)
|
100% |
9092
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18184
140.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
7795
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26351
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
59286
76.2 IPS |
|
|
Style Transfer (Q)
|
98% |
4552
5.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18708
690.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13958
515.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10968
406.1 IPS |
|
|
Text Classification (SP)
|
100% |
1547
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1890
2.52 KIPS |
|
|
Text Classification (Q)
|
97% |
967
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2616
45.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2586
44.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1331
25.0 IPS |