| User | MADSDemid |
| Upload Date | July 17 2025 02:56 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Windows 11 LTSC (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M DS3H AX DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B760M DS3H AX DDR4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9827
1.83 KIPS |
|
|
Image Classification (HP)
|
99% |
16617
3.10 KIPS |
|
|
Image Classification (Q)
|
100% |
8870
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19438
315.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
25247
409.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17192
279.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
142401
166.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
329243
384.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
126922
148.7 IPS |
|
|
Object Detection (SP)
|
100% |
13427
1.07 KIPS |
|
|
Object Detection (HP)
|
100% |
20063
1.59 KIPS |
|
|
Object Detection (Q)
|
85% |
11214
902.8 IPS |
|
|
Face Detection (SP)
|
100% |
35210
418.4 IPS |
|
|
Face Detection (HP)
|
100% |
48926
581.4 IPS |
|
|
Face Detection (Q)
|
97% |
29724
354.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
62871
484.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
109119
840.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
50906
406.5 IPS |
|
|
Style Transfer (SP)
|
100% |
254878
327.6 IPS |
|
|
Style Transfer (HP)
|
100% |
554525
712.8 IPS |
|
|
Style Transfer (Q)
|
98% |
229162
295.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46836
1.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54953
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32384
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3890
5.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4874
6.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2281
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5266
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5409
93.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2282
42.8 IPS |