| User | flyingzucchini |
| Upload Date | November 16 2025 02:35 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12059
2.24 KIPS |
|
|
Image Classification (HP)
|
100% |
17860
3.32 KIPS |
|
|
Image Classification (Q)
|
100% |
10158
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20388
330.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
27240
441.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18484
300.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
167018
194.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
631578
736.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
147172
172.4 IPS |
|
|
Object Detection (SP)
|
100% |
14088
1.12 KIPS |
|
|
Object Detection (HP)
|
100% |
22318
1.77 KIPS |
|
|
Object Detection (Q)
|
86% |
12135
975.0 IPS |
|
|
Face Detection (SP)
|
100% |
40507
481.3 IPS |
|
|
Face Detection (HP)
|
100% |
53806
639.3 IPS |
|
|
Face Detection (Q)
|
97% |
34974
417.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
79533
612.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
130455
1.01 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59548
475.5 IPS |
|
|
Style Transfer (SP)
|
100% |
298653
383.9 IPS |
|
|
Style Transfer (HP)
|
100% |
867523
1.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
237841
306.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40170
1.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70750
2.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32518
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3607
4.81 KIPS |
|
|
Text Classification (HP)
|
100% |
4399
5.87 KIPS |
|
|
Text Classification (Q)
|
97% |
2260
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5540
95.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5463
94.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2756
51.7 IPS |