User | eonsmith |
Upload Date | June 29 2025 05:31 PM |
Views | 5 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 3070 Ti Laptop GPU |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
Model | ASUSTeK COMPUTER INC. ROG Strix G733ZW_G733ZW |
Motherboard | ASUSTeK COMPUTER INC. G733ZW |
Power Plan | Performance |
CPU Information | |
---|---|
Name | Intel Core i9-12900H |
Topology | 1 Processor, 14 Cores, 20 Threads |
Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
Base Frequency | 2.50 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 8 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
6333
1.18 KIPS |
|
Image Classification (HP)
|
99% |
9329
1.74 KIPS |
|
Image Classification (Q)
|
100% |
4649
864.6 IPS |
|
Image Segmentation (SP)
|
100% |
11278
182.8 IPS |
|
Image Segmentation (HP)
|
100% |
16484
267.2 IPS |
|
Image Segmentation (Q)
|
98% |
8788
142.9 IPS |
|
Pose Estimation (SP)
|
100% |
82385
96.1 IPS |
|
Pose Estimation (HP)
|
100% |
245694
286.7 IPS |
|
Pose Estimation (Q)
|
96% |
66140
77.5 IPS |
|
Object Detection (SP)
|
100% |
8483
672.9 IPS |
|
Object Detection (HP)
|
100% |
13807
1.10 KIPS |
|
Object Detection (Q)
|
85% |
6412
516.2 IPS |
|
Face Detection (SP)
|
100% |
20264
240.8 IPS |
|
Face Detection (HP)
|
100% |
32034
380.6 IPS |
|
Face Detection (Q)
|
97% |
15474
184.5 IPS |
|
Depth Estimation (SP)
|
100% |
37950
292.4 IPS |
|
Depth Estimation (HP)
|
99% |
77094
594.0 IPS |
|
Depth Estimation (Q)
|
77% |
26139
209.4 IPS |
|
Style Transfer (SP)
|
100% |
156284
200.9 IPS |
|
Style Transfer (HP)
|
100% |
391197
502.9 IPS |
|
Style Transfer (Q)
|
98% |
115933
149.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
26193
967.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
37044
1.37 KIPS |
|
Image Super-Resolution (Q)
|
99% |
15464
572.6 IPS |
|
Text Classification (SP)
|
100% |
2779
3.71 KIPS |
|
Text Classification (HP)
|
99% |
3553
4.74 KIPS |
|
Text Classification (Q)
|
97% |
1174
1.57 KIPS |
|
Machine Translation (SP)
|
100% |
3403
58.6 IPS |
|
Machine Translation (HP)
|
100% |
3367
58.0 IPS |
|
Machine Translation (Q)
|
70% |
1251
23.5 IPS |