| User | rennsport |
| Upload Date | March 20 2025 12:41 PM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G834JYR_G834JYR |
| Motherboard | ASUSTeK COMPUTER INC. G834JYR |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3368
626.4 IPS |
|
|
Image Classification (HP)
|
100% |
3313
616.1 IPS |
|
|
Image Classification (Q)
|
100% |
8758
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3245
52.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3585
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8990
145.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7528
8.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
7429
8.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
25133
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2734
216.8 IPS |
|
|
Object Detection (HP)
|
100% |
2775
220.1 IPS |
|
|
Object Detection (Q)
|
88% |
8151
653.4 IPS |
|
|
Face Detection (SP)
|
100% |
9116
108.3 IPS |
|
|
Face Detection (HP)
|
100% |
9249
109.9 IPS |
|
|
Face Detection (Q)
|
100% |
21058
250.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8415
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8377
64.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
23273
181.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21519
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21917
28.2 IPS |
|
|
Style Transfer (Q)
|
98% |
75205
97.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4198
155.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4318
159.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13713
507.9 IPS |
|
|
Text Classification (SP)
|
100% |
2388
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (Q)
|
92% |
5418
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2237
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2074
35.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2061
35.5 IPS |