User | rparise97 |
Upload Date | June 27 2025 10:01 PM |
Views | 9 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device | Intel Core i7-13700K |
System Information | |
---|---|
Operating System | Ubuntu 22.04.5 LTS |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P |
CPU Information | |
---|---|
Name | Intel Core i7-13700K |
Topology | 1 Processor, 16 Cores, 24 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 5.30 GHz |
Cluster 1 | 0 Cores |
Memory Information | |
---|---|
Size | 62.61 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
2484
462.0 IPS |
|
Image Classification (HP)
|
100% |
2193
407.8 IPS |
|
Image Classification (Q)
|
99% |
1238
230.9 IPS |
|
Image Segmentation (SP)
|
100% |
3338
54.1 IPS |
|
Image Segmentation (HP)
|
100% |
3338
54.1 IPS |
|
Image Segmentation (Q)
|
98% |
1433
23.3 IPS |
|
Pose Estimation (SP)
|
100% |
2659
3.10 IPS |
|
Pose Estimation (HP)
|
100% |
2613
3.05 IPS |
|
Pose Estimation (Q)
|
96% |
4512
5.29 IPS |
|
Object Detection (SP)
|
100% |
2169
172.0 IPS |
|
Object Detection (HP)
|
100% |
2180
172.9 IPS |
|
Object Detection (Q)
|
85% |
1620
130.4 IPS |
|
Face Detection (SP)
|
100% |
3236
38.5 IPS |
|
Face Detection (HP)
|
100% |
3268
38.8 IPS |
|
Face Detection (Q)
|
97% |
3297
39.3 IPS |
|
Depth Estimation (SP)
|
100% |
2581
19.9 IPS |
|
Depth Estimation (HP)
|
99% |
2581
19.9 IPS |
|
Depth Estimation (Q)
|
63% |
2732
25.6 IPS |
|
Style Transfer (SP)
|
100% |
2437
3.13 IPS |
|
Style Transfer (HP)
|
100% |
2447
3.15 IPS |
|
Style Transfer (Q)
|
98% |
6610
8.52 IPS |
|
Image Super-Resolution (SP)
|
100% |
2932
108.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
2944
108.7 IPS |
|
Image Super-Resolution (Q)
|
97% |
2182
80.8 IPS |
|
Text Classification (SP)
|
100% |
1845
2.46 KIPS |
|
Text Classification (HP)
|
100% |
1872
2.50 KIPS |
|
Text Classification (Q)
|
92% |
855
1.15 KIPS |
|
Machine Translation (SP)
|
100% |
2931
50.5 IPS |
|
Machine Translation (HP)
|
100% |
3085
53.1 IPS |
|
Machine Translation (Q)
|
58% |
746
17.5 IPS |