| User | Alex_TOPMAN |
| Upload Date | September 30 2024 05:26 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3223
599.4 IPS |
|
|
Image Classification (HP)
|
100% |
664
123.6 IPS |
|
|
Image Classification (Q)
|
99% |
5336
995.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2963
48.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4598
74.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13810
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5663
6.61 IPS |
|
|
Pose Estimation (Q)
|
95% |
44397
52.0 IPS |
|
|
Object Detection (SP)
|
100% |
3997
317.0 IPS |
|
|
Object Detection (HP)
|
100% |
959
76.0 IPS |
|
|
Object Detection (Q)
|
88% |
3257
261.1 IPS |
|
|
Face Detection (SP)
|
100% |
7596
90.3 IPS |
|
|
Face Detection (HP)
|
100% |
2581
30.7 IPS |
|
|
Face Detection (Q)
|
97% |
6912
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14053
108.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2851
22.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
15333
122.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31245
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15354
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
42770
55.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5125
189.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2734
100.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6941
257.0 IPS |
|
|
Text Classification (SP)
|
100% |
2176
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
978
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
773
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3373
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (Q)
|
60% |
3621
80.8 IPS |