| User | astrum |
| Upload Date | January 12 2026 09:17 AM |
| Views | 8 |
| Notes | 20260112_姫路ロフト設置後に測定 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. P8Z68 DELUXE/GEN3 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-2700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5249
976.1 IPS |
|
|
Image Classification (HP)
|
99% |
7213
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
4225
785.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7498
121.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9325
151.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6334
103.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
88611
103.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
223352
260.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
72366
84.8 IPS |
|
|
Object Detection (SP)
|
100% |
6465
512.8 IPS |
|
|
Object Detection (HP)
|
100% |
9413
746.7 IPS |
|
|
Object Detection (Q)
|
85% |
5105
411.0 IPS |
|
|
Face Detection (SP)
|
100% |
14625
173.8 IPS |
|
|
Face Detection (HP)
|
100% |
19836
235.7 IPS |
|
|
Face Detection (Q)
|
97% |
12045
143.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
36884
284.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
64550
497.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
25786
206.3 IPS |
|
|
Style Transfer (SP)
|
100% |
139849
179.8 IPS |
|
|
Style Transfer (HP)
|
100% |
309449
397.8 IPS |
|
|
Style Transfer (Q)
|
98% |
111046
143.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23823
879.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30862
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14949
553.6 IPS |
|
|
Text Classification (SP)
|
100% |
1985
2.65 KIPS |
|
|
Text Classification (HP)
|
99% |
2570
3.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1016
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2219
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2232
38.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1106
20.8 IPS |