| User | vladuna |
| Upload Date | February 21 2025 11:10 AM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H97M-D3H |
| Motherboard | Gigabyte Technology Co., Ltd. H97M-D3H |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
909
169.1 IPS |
|
|
Image Classification (HP)
|
100% |
267
49.7 IPS |
|
|
Image Classification (Q)
|
96% |
1158
216.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
600
9.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.46 IPS |
|
|
Image Segmentation (Q)
|
97% |
680
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1726
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1589
1.85 IPS |
|
|
Pose Estimation (Q)
|
86% |
2337
2.76 IPS |
|
|
Object Detection (SP)
|
100% |
852
67.5 IPS |
|
|
Object Detection (HP)
|
100% |
332
26.3 IPS |
|
|
Object Detection (Q)
|
58% |
812
88.7 IPS |
|
|
Face Detection (SP)
|
100% |
1425
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
661
7.85 IPS |
|
|
Face Detection (Q)
|
96% |
2442
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2395
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
916
7.05 IPS |
|
|
Depth Estimation (Q)
|
78% |
2708
21.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3908
5.02 IPS |
|
|
Style Transfer (HP)
|
100% |
3579
4.60 IPS |
|
|
Style Transfer (Q)
|
87% |
4494
5.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
746
27.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
750
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
963
35.7 IPS |
|
|
Text Classification (SP)
|
100% |
817
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
456
608.4 IPS |
|
|
Text Classification (Q)
|
97% |
318
425.9 IPS |
|
|
Machine Translation (SP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (Q)
|
68% |
970
18.7 IPS |