| User | tester_one |
| Upload Date | March 13 2025 02:29 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dedicated Computing OEM-A9101-00 |
| Motherboard | BCM Advanced Research MX610HD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500E |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1890
351.5 IPS |
|
|
Image Classification (HP)
|
99% |
4069
759.0 IPS |
|
|
Image Classification (Q)
|
99% |
1644
306.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2941
47.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5060
82.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2455
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15590
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
56305
65.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13674
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2276
180.5 IPS |
|
|
Object Detection (HP)
|
100% |
4924
390.6 IPS |
|
|
Object Detection (Q)
|
83% |
1930
156.0 IPS |
|
|
Face Detection (SP)
|
100% |
4775
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
7946
94.4 IPS |
|
|
Face Detection (Q)
|
97% |
4120
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9845
75.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22385
172.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
7893
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26690
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
74857
96.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22884
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6491
239.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11413
421.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4230
156.6 IPS |
|
|
Text Classification (SP)
|
100% |
1611
2.15 KIPS |
|
|
Text Classification (HP)
|
99% |
2296
3.06 KIPS |
|
|
Text Classification (Q)
|
97% |
813
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2203
38.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2264
39.1 IPS |
|
|
Machine Translation (Q)
|
70% |
886
16.6 IPS |