User | JohnnieTheRabbit |
Upload Date | February 23 2025 09:57 PM |
Views | 10 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | Intel(R) Core(TM) i9-14900HX |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR |
Motherboard | ASUSTeK COMPUTER INC. G634JZR |
Power Plan | Turbo |
CPU Information | |
---|---|
Name | Intel Core i9-14900HX |
Topology | 1 Processor, 24 Cores, 32 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 2.20 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 16 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
3662
681.0 IPS |
|
Image Classification (HP)
|
100% |
3632
675.5 IPS |
|
Image Classification (Q)
|
100% |
8934
1.66 KIPS |
|
Image Segmentation (SP)
|
100% |
4977
80.7 IPS |
|
Image Segmentation (HP)
|
100% |
4952
80.3 IPS |
|
Image Segmentation (Q)
|
99% |
9967
161.6 IPS |
|
Pose Estimation (SP)
|
100% |
10971
12.8 IPS |
|
Pose Estimation (HP)
|
100% |
11126
13.0 IPS |
|
Pose Estimation (Q)
|
96% |
31174
36.5 IPS |
|
Object Detection (SP)
|
100% |
3218
255.2 IPS |
|
Object Detection (HP)
|
100% |
3231
256.3 IPS |
|
Object Detection (Q)
|
88% |
9756
782.1 IPS |
|
Face Detection (SP)
|
100% |
10540
125.2 IPS |
|
Face Detection (HP)
|
100% |
10571
125.6 IPS |
|
Face Detection (Q)
|
100% |
23728
281.9 IPS |
|
Depth Estimation (SP)
|
100% |
10558
81.3 IPS |
|
Depth Estimation (HP)
|
99% |
10504
80.9 IPS |
|
Depth Estimation (Q)
|
89% |
27679
215.2 IPS |
|
Style Transfer (SP)
|
100% |
31487
40.5 IPS |
|
Style Transfer (HP)
|
100% |
29676
38.1 IPS |
|
Style Transfer (Q)
|
98% |
86422
111.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
4834
178.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
4840
178.7 IPS |
|
Image Super-Resolution (Q)
|
99% |
16329
604.7 IPS |
|
Text Classification (SP)
|
100% |
2585
3.45 KIPS |
|
Text Classification (HP)
|
100% |
2602
3.47 KIPS |
|
Text Classification (Q)
|
92% |
5464
7.34 KIPS |
|
Machine Translation (SP)
|
100% |
2554
44.0 IPS |
|
Machine Translation (HP)
|
100% |
2253
38.8 IPS |
|
Machine Translation (Q)
|
100% |
2195
37.8 IPS |