| User | gethen |
| Upload Date | June 28 2025 04:29 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B760M Pro-A WiFi |
| Motherboard | ASRock B760M Pro-A WiFi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10010
1.86 KIPS |
|
|
Image Classification (HP)
|
100% |
18636
3.47 KIPS |
|
|
Image Classification (Q)
|
100% |
8986
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20266
328.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
26860
435.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
17276
280.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
168693
196.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
459284
535.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
146361
171.4 IPS |
|
|
Object Detection (SP)
|
100% |
13675
1.08 KIPS |
|
|
Object Detection (HP)
|
100% |
21883
1.74 KIPS |
|
|
Object Detection (Q)
|
83% |
11593
936.7 IPS |
|
|
Face Detection (SP)
|
100% |
37595
446.7 IPS |
|
|
Face Detection (HP)
|
100% |
54458
647.1 IPS |
|
|
Face Detection (Q)
|
97% |
32625
389.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
67559
520.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
119987
924.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
53508
427.1 IPS |
|
|
Style Transfer (SP)
|
100% |
231901
298.1 IPS |
|
|
Style Transfer (HP)
|
100% |
740496
951.9 IPS |
|
|
Style Transfer (Q)
|
98% |
198915
256.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37545
1.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72887
2.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30972
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3871
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4502
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2325
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5560
95.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5935
102.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2749
51.6 IPS |