| User | berrob14 |
| Upload Date | February 12 2025 04:31 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4790K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z97-D3H |
| Motherboard | Gigabyte Technology Co., Ltd. Z97-D3H-CF |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
637
118.4 IPS |
|
|
Image Classification (HP)
|
100% |
267
49.6 IPS |
|
|
Image Classification (Q)
|
96% |
1244
232.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
403
6.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
335
5.43 IPS |
|
|
Image Segmentation (Q)
|
97% |
809
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
907
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
785
0.92 IPS |
|
|
Pose Estimation (Q)
|
86% |
1388
1.64 IPS |
|
|
Object Detection (SP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (HP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (Q)
|
58% |
499
54.5 IPS |
|
|
Face Detection (SP)
|
100% |
1061
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
432
5.13 IPS |
|
|
Face Detection (Q)
|
96% |
1496
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
915
7.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
439
3.38 IPS |
|
|
Depth Estimation (Q)
|
78% |
1361
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1790
2.30 IPS |
|
|
Style Transfer (HP)
|
100% |
1512
1.94 IPS |
|
|
Style Transfer (Q)
|
87% |
2764
3.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
333
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
272
10.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
481
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
561
748.4 IPS |
|
|
Text Classification (HP)
|
100% |
292
389.3 IPS |
|
|
Text Classification (Q)
|
97% |
243
325.3 IPS |
|
|
Machine Translation (SP)
|
100% |
504
8.68 IPS |
|
|
Machine Translation (HP)
|
100% |
206
3.55 IPS |
|
|
Machine Translation (Q)
|
68% |
491
9.48 IPS |