| User | aigamer |
| Upload Date | July 23 2025 06:41 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760M-A WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4507
838.1 IPS |
|
|
Image Classification (HP)
|
100% |
651
121.0 IPS |
|
|
Image Classification (Q)
|
99% |
7315
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2284
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1213
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12213
198.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10591
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4947
5.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
35040
41.1 IPS |
|
|
Object Detection (SP)
|
100% |
4233
335.8 IPS |
|
|
Object Detection (HP)
|
100% |
849
67.3 IPS |
|
|
Object Detection (Q)
|
86% |
7840
630.1 IPS |
|
|
Face Detection (SP)
|
100% |
12867
152.9 IPS |
|
|
Face Detection (HP)
|
100% |
1940
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
12566
149.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12564
96.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2365
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
19852
158.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23957
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11759
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24056
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3676
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2211
81.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6866
254.2 IPS |
|
|
Text Classification (SP)
|
100% |
1919
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
853
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1659
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2433
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3820
76.8 IPS |