| User | gethen |
| Upload Date | July 24 2025 03:15 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AERO G |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AERO G |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5133
954.6 IPS |
|
|
Image Classification (HP)
|
100% |
688
128.0 IPS |
|
|
Image Classification (Q)
|
99% |
8975
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2640
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1533
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15910
258.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12972
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
7911
9.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
41901
49.1 IPS |
|
|
Object Detection (SP)
|
100% |
4673
370.7 IPS |
|
|
Object Detection (HP)
|
100% |
1123
89.0 IPS |
|
|
Object Detection (Q)
|
86% |
11423
918.0 IPS |
|
|
Face Detection (SP)
|
100% |
14809
176.0 IPS |
|
|
Face Detection (HP)
|
100% |
2586
30.7 IPS |
|
|
Face Detection (Q)
|
97% |
13478
160.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13362
102.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3443
26.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
24781
197.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27799
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21295
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
27209
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4776
176.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3190
117.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5209
192.9 IPS |
|
|
Text Classification (SP)
|
100% |
1763
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
903
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1633
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3221
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1468
25.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4594
92.3 IPS |