| User | uRyn |
| Upload Date | April 12 2025 10:15 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-13980HX |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K6604JV_K6604JV |
| Motherboard | ASUSTeK COMPUTER INC. K6604JV |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13980HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.22 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1952
363.0 IPS |
|
|
Image Classification (HP)
|
100% |
1930
359.0 IPS |
|
|
Image Classification (Q)
|
99% |
1086
202.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3187
51.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3198
51.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1431
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3732
4.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
3725
4.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
4443
5.21 IPS |
|
|
Object Detection (SP)
|
100% |
2391
189.7 IPS |
|
|
Object Detection (HP)
|
100% |
2400
190.4 IPS |
|
|
Object Detection (Q)
|
85% |
1313
105.7 IPS |
|
|
Face Detection (SP)
|
100% |
3854
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
3880
46.1 IPS |
|
|
Face Detection (Q)
|
97% |
2933
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3341
25.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3365
25.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2383
22.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4069
5.23 IPS |
|
|
Style Transfer (HP)
|
100% |
4072
5.23 IPS |
|
|
Style Transfer (Q)
|
98% |
7359
9.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2351
86.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2369
87.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1937
71.8 IPS |
|
|
Text Classification (SP)
|
100% |
1250
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1347
1.80 KIPS |
|
|
Text Classification (Q)
|
92% |
660
886.4 IPS |
|
|
Machine Translation (SP)
|
100% |
3059
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2547
43.9 IPS |
|
|
Machine Translation (Q)
|
58% |
636
14.9 IPS |