| Upload Date | November 05 2025 08:28 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | ASUSTeK COMPUTER INC. BM1AF_BP1AF_BM6AF |
| Motherboard | ASUSTeK COMPUTER INC. BM1AF_BP1AF_BM6AF |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1231 v3 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5659
1.05 KIPS |
|
|
Image Classification (HP)
|
99% |
9178
1.71 KIPS |
|
|
Image Classification (Q)
|
99% |
4351
811.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8563
138.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12387
200.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7056
114.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
70293
82.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
190214
221.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
58057
68.0 IPS |
|
|
Object Detection (SP)
|
100% |
6671
529.2 IPS |
|
|
Object Detection (HP)
|
100% |
11207
888.9 IPS |
|
|
Object Detection (Q)
|
84% |
5364
432.6 IPS |
|
|
Face Detection (SP)
|
100% |
15554
184.8 IPS |
|
|
Face Detection (HP)
|
100% |
23474
278.9 IPS |
|
|
Face Detection (Q)
|
97% |
12361
147.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
34619
266.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
64753
500.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
24127
193.1 IPS |
|
|
Style Transfer (SP)
|
100% |
115372
148.3 IPS |
|
|
Style Transfer (HP)
|
100% |
282260
362.8 IPS |
|
|
Style Transfer (Q)
|
98% |
92366
119.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19928
735.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31797
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13134
486.3 IPS |
|
|
Text Classification (SP)
|
100% |
2053
2.74 KIPS |
|
|
Text Classification (HP)
|
99% |
2731
3.65 KIPS |
|
|
Text Classification (Q)
|
97% |
1136
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2969
51.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3023
52.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1323
24.8 IPS |