| Upload Date | January 18 2026 11:40 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | FUJITSU CLIENT COMPUTING LIMITED FMVDH02001 |
| Motherboard | FUJITSU CLIENT COMPUTING LIMITED D4023-A2 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700 |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3408
633.8 IPS |
|
|
Image Classification (HP)
|
100% |
557
103.6 IPS |
|
|
Image Classification (Q)
|
99% |
5935
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1814
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
934
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9355
152.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7168
8.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
3998
4.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
23950
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
3099
245.8 IPS |
|
|
Object Detection (HP)
|
100% |
682
54.1 IPS |
|
|
Object Detection (Q)
|
86% |
6112
491.2 IPS |
|
|
Face Detection (SP)
|
100% |
8045
95.6 IPS |
|
|
Face Detection (HP)
|
100% |
1532
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
9234
110.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8815
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1913
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14951
119.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16693
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9497
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
21355
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2786
102.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1762
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5244
194.2 IPS |
|
|
Text Classification (SP)
|
100% |
1545
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
719
959.8 IPS |
|
|
Text Classification (Q)
|
97% |
1376
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1883
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3029
60.9 IPS |