| User | chemeya |
| Upload Date | November 04 2025 09:54 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11664
2.17 KIPS |
|
|
Image Classification (HP)
|
100% |
19761
3.67 KIPS |
|
|
Image Classification (Q)
|
100% |
10368
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21250
344.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
31199
505.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19331
314.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
169608
197.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
488350
569.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
146219
171.3 IPS |
|
|
Object Detection (SP)
|
100% |
14978
1.19 KIPS |
|
|
Object Detection (HP)
|
100% |
24890
1.97 KIPS |
|
|
Object Detection (Q)
|
83% |
12701
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
39333
467.4 IPS |
|
|
Face Detection (HP)
|
100% |
57902
688.0 IPS |
|
|
Face Detection (Q)
|
97% |
34155
407.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
70977
546.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
140508
1.08 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55304
441.4 IPS |
|
|
Style Transfer (SP)
|
100% |
235340
302.5 IPS |
|
|
Style Transfer (HP)
|
100% |
815493
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
201961
260.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43770
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79715
2.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34594
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
4384
5.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5381
7.18 KIPS |
|
|
Text Classification (Q)
|
97% |
2582
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
6230
107.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6328
109.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2962
55.6 IPS |