| Upload Date | November 09 2025 07:28 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth A16 AI+ A3XWHG |
| Motherboard | Micro-Star International Co., Ltd. MS-15FL |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8492
1.58 KIPS |
|
|
Image Classification (HP)
|
100% |
14758
2.74 KIPS |
|
|
Image Classification (Q)
|
100% |
8422
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16086
260.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22466
364.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13850
225.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
109451
127.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
367287
428.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
100985
118.3 IPS |
|
|
Object Detection (SP)
|
100% |
11972
949.7 IPS |
|
|
Object Detection (HP)
|
100% |
20328
1.61 KIPS |
|
|
Object Detection (Q)
|
83% |
10071
813.7 IPS |
|
|
Face Detection (SP)
|
100% |
28006
332.8 IPS |
|
|
Face Detection (HP)
|
100% |
47100
559.7 IPS |
|
|
Face Detection (Q)
|
97% |
22865
272.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
49613
382.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110445
850.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
35745
285.3 IPS |
|
|
Style Transfer (SP)
|
100% |
180345
231.8 IPS |
|
|
Style Transfer (HP)
|
100% |
625240
803.8 IPS |
|
|
Style Transfer (Q)
|
98% |
154358
199.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32691
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66877
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25118
930.1 IPS |
|
|
Text Classification (SP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
3976
5.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2087
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
5004
86.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5368
92.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1584
29.7 IPS |