| User | rennsport |
| Upload Date | April 17 2025 11:08 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (32GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CX_GU605CX |
| Motherboard | ASUSTeK COMPUTER INC. GU605CX |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6511
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
11228
2.09 KIPS |
|
|
Image Classification (Q)
|
100% |
14418
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8207
133.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17203
278.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19928
323.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
26227
30.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
102494
119.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
183180
214.5 IPS |
|
|
Object Detection (SP)
|
100% |
6390
506.8 IPS |
|
|
Object Detection (HP)
|
100% |
12171
965.4 IPS |
|
|
Object Detection (Q)
|
88% |
14467
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
12165
144.5 IPS |
|
|
Face Detection (HP)
|
100% |
26334
312.9 IPS |
|
|
Face Detection (Q)
|
100% |
35312
419.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22218
171.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
48863
376.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
63363
492.5 IPS |
|
|
Style Transfer (SP)
|
100% |
62621
80.5 IPS |
|
|
Style Transfer (HP)
|
100% |
165495
212.7 IPS |
|
|
Style Transfer (Q)
|
98% |
261959
337.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10414
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29627
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36050
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4195
5.60 KIPS |
|
|
Text Classification (Q)
|
92% |
3162
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2655
45.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4178
72.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4265
73.5 IPS |