| User | ks5z |
| Upload Date | March 20 2026 11:25 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 580 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acidanthera iMac20,1 |
| Motherboard | Acidanthera Mac-CFF7D910A743CAAF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2751
511.7 IPS |
|
|
Image Classification (HP)
|
100% |
3156
586.9 IPS |
|
|
Image Classification (Q)
|
100% |
2255
419.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3576
58.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3895
63.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2968
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
48748
56.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
51332
59.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
41269
48.3 IPS |
|
|
Object Detection (SP)
|
100% |
3299
261.7 IPS |
|
|
Object Detection (HP)
|
100% |
3323
263.6 IPS |
|
|
Object Detection (Q)
|
88% |
2551
204.5 IPS |
|
|
Face Detection (SP)
|
100% |
9134
108.5 IPS |
|
|
Face Detection (HP)
|
100% |
11870
141.0 IPS |
|
|
Face Detection (Q)
|
97% |
7240
86.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18108
139.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20712
160.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
13130
105.3 IPS |
|
|
Style Transfer (SP)
|
100% |
76819
98.8 IPS |
|
|
Style Transfer (HP)
|
100% |
89492
115.0 IPS |
|
|
Style Transfer (Q)
|
98% |
61481
79.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11242
415.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12392
457.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6960
257.7 IPS |
|
|
Text Classification (SP)
|
100% |
1011
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
719
959.9 IPS |
|
|
Text Classification (Q)
|
97% |
607
813.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1444
24.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1394
24.1 IPS |
|
|
Machine Translation (Q)
|
70% |
739
13.9 IPS |