| Upload Date | November 11 2025 07:35 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 GAMING X WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 GAMING X WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10715
1.99 KIPS |
|
|
Image Classification (HP)
|
100% |
19822
3.69 KIPS |
|
|
Image Classification (Q)
|
100% |
9861
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18563
300.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
26201
424.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17092
277.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
162513
189.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
469235
547.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
139970
164.0 IPS |
|
|
Object Detection (SP)
|
100% |
14602
1.16 KIPS |
|
|
Object Detection (HP)
|
100% |
23951
1.90 KIPS |
|
|
Object Detection (Q)
|
83% |
12211
986.6 IPS |
|
|
Face Detection (SP)
|
100% |
37680
447.7 IPS |
|
|
Face Detection (HP)
|
100% |
54478
647.3 IPS |
|
|
Face Detection (Q)
|
97% |
33013
393.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
66421
511.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
128218
987.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
52707
420.7 IPS |
|
|
Style Transfer (SP)
|
100% |
228530
293.8 IPS |
|
|
Style Transfer (HP)
|
100% |
735122
945.0 IPS |
|
|
Style Transfer (Q)
|
98% |
196907
253.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40729
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73333
2.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32465
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3900
5.21 KIPS |
|
|
Text Classification (HP)
|
100% |
5123
6.84 KIPS |
|
|
Text Classification (Q)
|
97% |
2350
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5492
94.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5610
96.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2670
50.1 IPS |