| Upload Date | February 08 2026 09:59 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760M-PLUS WIFI D4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9608
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
11530
2.14 KIPS |
|
|
Image Classification (Q)
|
100% |
6664
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9524
154.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13704
222.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12947
210.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
157381
183.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
422232
492.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
137119
160.6 IPS |
|
|
Object Detection (SP)
|
100% |
13559
1.08 KIPS |
|
|
Object Detection (HP)
|
100% |
16411
1.30 KIPS |
|
|
Object Detection (Q)
|
83% |
9843
795.3 IPS |
|
|
Face Detection (SP)
|
100% |
30493
362.3 IPS |
|
|
Face Detection (HP)
|
100% |
44922
533.8 IPS |
|
|
Face Detection (Q)
|
97% |
27019
322.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
64311
495.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
114493
882.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
51255
409.1 IPS |
|
|
Style Transfer (SP)
|
100% |
218042
280.3 IPS |
|
|
Style Transfer (HP)
|
100% |
738472
949.3 IPS |
|
|
Style Transfer (Q)
|
98% |
189031
243.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35299
1.30 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59643
2.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29055
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2851
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3320
4.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1929
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4588
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4036
69.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2242
42.0 IPS |