| Upload Date | November 14 2025 12:14 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M H |
| Motherboard | Gigabyte Technology Co., Ltd. B760M H |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7889
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
14559
2.71 KIPS |
|
|
Image Classification (Q)
|
99% |
6594
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11333
183.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15631
253.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10480
170.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
99479
116.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
284539
332.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
77009
90.2 IPS |
|
|
Object Detection (SP)
|
100% |
9675
767.4 IPS |
|
|
Object Detection (HP)
|
100% |
15710
1.25 KIPS |
|
|
Object Detection (Q)
|
83% |
8545
690.4 IPS |
|
|
Face Detection (SP)
|
100% |
22513
267.5 IPS |
|
|
Face Detection (HP)
|
100% |
35086
416.9 IPS |
|
|
Face Detection (Q)
|
97% |
19616
233.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
43236
333.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94364
727.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
36307
290.3 IPS |
|
|
Style Transfer (SP)
|
100% |
138592
178.2 IPS |
|
|
Style Transfer (HP)
|
100% |
493262
634.1 IPS |
|
|
Style Transfer (Q)
|
98% |
119333
153.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25567
944.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50072
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20826
771.2 IPS |
|
|
Text Classification (SP)
|
100% |
3490
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4338
5.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2202
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3592
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3712
63.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1611
30.2 IPS |