| Upload Date | December 08 2025 11:12 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon X5355 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Apple Computer, Inc. MacPro1,1 |
| Motherboard | Apple Computer, Inc. Mac-F4208DC8 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon X5355 |
| Topology | 2 Processors, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 15 Stepping 11 |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 11.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
180
33.4 IPS |
|
|
Image Classification (HP)
|
100% |
62
11.6 IPS |
|
|
Image Classification (Q)
|
99% |
218
40.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
137
2.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
92
1.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
389
6.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
408
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
527
0.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
666
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (HP)
|
100% |
76
6.02 IPS |
|
|
Object Detection (Q)
|
86% |
211
16.9 IPS |
|
|
Face Detection (SP)
|
100% |
458
5.44 IPS |
|
|
Face Detection (HP)
|
100% |
165
1.96 IPS |
|
|
Face Detection (Q)
|
97% |
601
7.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
524
4.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
272
2.09 IPS |
|
|
Depth Estimation (Q)
|
78% |
537
4.27 IPS |
|
|
Style Transfer (SP)
|
100% |
1032
1.33 IPS |
|
|
Style Transfer (HP)
|
100% |
1390
1.79 IPS |
|
|
Style Transfer (Q)
|
98% |
1175
1.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
193
7.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
228
8.41 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
291
10.8 IPS |
|
|
Text Classification (SP)
|
100% |
182
243.5 IPS |
|
|
Text Classification (HP)
|
100% |
94
124.9 IPS |
|
|
Text Classification (Q)
|
97% |
108
145.2 IPS |
|
|
Machine Translation (SP)
|
100% |
230
3.96 IPS |
|
|
Machine Translation (HP)
|
100% |
119
2.04 IPS |
|
|
Machine Translation (Q)
|
65% |
163
3.27 IPS |