| User | wfwrigh |
| Upload Date | October 22 2025 06:02 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD FirePro D700 (FireGL V) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Apple Inc. MacPro6,1 |
| Motherboard | Apple Inc. Mac-F60DEB81FF30ACF6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697 v2 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1300
241.8 IPS |
|
|
Image Classification (HP)
|
100% |
1330
247.4 IPS |
|
|
Image Classification (Q)
|
99% |
1145
213.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1715
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1675
27.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1478
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10049
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10066
11.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
9391
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (HP)
|
100% |
1634
129.6 IPS |
|
|
Object Detection (Q)
|
86% |
1343
108.0 IPS |
|
|
Face Detection (SP)
|
100% |
3314
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3338
39.7 IPS |
|
|
Face Detection (Q)
|
97% |
2863
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6529
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6733
52.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
5454
43.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19198
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19540
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17888
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3898
143.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4024
148.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3141
116.3 IPS |
|
|
Text Classification (SP)
|
100% |
633
844.6 IPS |
|
|
Text Classification (HP)
|
100% |
652
870.4 IPS |
|
|
Text Classification (Q)
|
97% |
446
597.8 IPS |
|
|
Machine Translation (SP)
|
100% |
825
14.2 IPS |
|
|
Machine Translation (HP)
|
96% |
885
15.3 IPS |
|
|
Machine Translation (Q)
|
70% |
455
8.53 IPS |