| User | kazukied2 |
| Upload Date | January 05 2026 07:30 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon Pro Vega 56 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Apple Inc. iMacPro1,1 |
| Motherboard | Apple Inc. Mac-7BA5B2D9E42DDD94 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2140B |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3079
572.6 IPS |
|
|
Image Classification (HP)
|
100% |
3500
650.8 IPS |
|
|
Image Classification (Q)
|
100% |
2624
487.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5149
83.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5551
90.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4452
72.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
76500
89.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
114333
133.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
58284
68.3 IPS |
|
|
Object Detection (SP)
|
100% |
3700
293.4 IPS |
|
|
Object Detection (HP)
|
100% |
3957
313.9 IPS |
|
|
Object Detection (Q)
|
87% |
3163
253.8 IPS |
|
|
Face Detection (SP)
|
100% |
9238
109.8 IPS |
|
|
Face Detection (HP)
|
100% |
9889
117.5 IPS |
|
|
Face Detection (Q)
|
97% |
7820
93.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19579
150.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21569
166.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
15221
121.5 IPS |
|
|
Style Transfer (SP)
|
100% |
128486
165.2 IPS |
|
|
Style Transfer (HP)
|
100% |
183776
236.2 IPS |
|
|
Style Transfer (Q)
|
98% |
99660
128.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17922
661.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20313
750.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11185
414.2 IPS |
|
|
Text Classification (SP)
|
100% |
1141
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1155
1.54 KIPS |
|
|
Text Classification (Q)
|
97% |
695
931.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2277
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2378
41.0 IPS |
|
|
Machine Translation (Q)
|
70% |
980
18.4 IPS |