| User | ChrisSack |
| Upload Date | March 22 2026 06:33 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-1650 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Default string |
| Motherboard | Gigabyte Technology Co., Ltd. X99-UD5 WIFI-CF |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1650 v4 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1261
234.5 IPS |
|
|
Image Classification (HP)
|
100% |
327
60.8 IPS |
|
|
Image Classification (Q)
|
96% |
1678
313.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
960
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
503
8.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
1729
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3082
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2674
3.12 IPS |
|
|
Pose Estimation (Q)
|
86% |
3758
4.44 IPS |
|
|
Object Detection (SP)
|
100% |
1286
102.0 IPS |
|
|
Object Detection (HP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (Q)
|
58% |
1119
122.3 IPS |
|
|
Face Detection (SP)
|
100% |
3277
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
940
11.2 IPS |
|
|
Face Detection (Q)
|
96% |
3763
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3968
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1264
9.74 IPS |
|
|
Depth Estimation (Q)
|
78% |
4108
32.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7639
9.82 IPS |
|
|
Style Transfer (HP)
|
100% |
5723
7.36 IPS |
|
|
Style Transfer (Q)
|
87% |
7156
9.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1340
49.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1124
41.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1838
68.1 IPS |
|
|
Text Classification (SP)
|
100% |
999
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
480
641.3 IPS |
|
|
Text Classification (Q)
|
97% |
340
454.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1157
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
471
8.11 IPS |
|
|
Machine Translation (Q)
|
68% |
1275
24.6 IPS |