| Upload Date | November 04 2025 07:04 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| 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 265KF |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12651
2.35 KIPS |
|
|
Image Classification (HP)
|
99% |
17926
3.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10687
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23696
384.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
31030
503.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21398
348.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
254180
296.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
495118
577.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
225504
264.2 IPS |
|
|
Object Detection (SP)
|
100% |
16439
1.30 KIPS |
|
|
Object Detection (HP)
|
100% |
22161
1.76 KIPS |
|
|
Object Detection (Q)
|
85% |
13969
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
49363
586.5 IPS |
|
|
Face Detection (HP)
|
100% |
65469
777.9 IPS |
|
|
Face Detection (Q)
|
97% |
42178
502.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
82977
639.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
147252
1.14 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62749
501.1 IPS |
|
|
Style Transfer (SP)
|
100% |
384115
493.8 IPS |
|
|
Style Transfer (HP)
|
100% |
877069
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
336527
433.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52260
1.93 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70927
2.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39913
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3624
4.84 KIPS |
|
|
Text Classification (HP)
|
99% |
4467
5.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2153
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5750
99.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5776
99.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2752
51.6 IPS |