| User | whatexcusenow |
| Upload Date | December 20 2025 08:07 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M DS3H AX DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B760M DS3H AX DDR4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8353
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
16299
3.03 KIPS |
|
|
Image Classification (Q)
|
100% |
7885
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15067
244.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21203
343.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13912
226.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
121707
142.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
383033
446.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
113814
133.3 IPS |
|
|
Object Detection (SP)
|
100% |
11007
873.1 IPS |
|
|
Object Detection (HP)
|
100% |
17929
1.42 KIPS |
|
|
Object Detection (Q)
|
83% |
9529
769.9 IPS |
|
|
Face Detection (SP)
|
100% |
27634
328.4 IPS |
|
|
Face Detection (HP)
|
100% |
42024
499.3 IPS |
|
|
Face Detection (Q)
|
97% |
24178
288.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
53289
410.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
108211
833.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
44179
352.6 IPS |
|
|
Style Transfer (SP)
|
100% |
174005
223.7 IPS |
|
|
Style Transfer (HP)
|
100% |
573464
737.2 IPS |
|
|
Style Transfer (Q)
|
98% |
148156
191.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32151
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62573
2.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24782
917.6 IPS |
|
|
Text Classification (SP)
|
100% |
4039
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
4864
6.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2395
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4406
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4862
83.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1872
35.1 IPS |