| User | kuishinbougeek |
| Upload Date | October 19 2025 04:39 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Claw 8 AI+ A2VM |
| Motherboard | Micro-Star International Co., Ltd. MS-1T52 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2127
395.6 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.6 IPS |
|
|
Image Classification (Q)
|
99% |
4547
848.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
903
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6753
109.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4499
5.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
3225
3.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
13778
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
2004
158.9 IPS |
|
|
Object Detection (HP)
|
100% |
545
43.3 IPS |
|
|
Object Detection (Q)
|
86% |
4693
377.2 IPS |
|
|
Face Detection (SP)
|
100% |
5763
68.5 IPS |
|
|
Face Detection (HP)
|
100% |
1381
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
7950
94.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5550
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1755
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11211
89.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10441
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7952
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18385
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1966
72.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1503
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3949
146.2 IPS |
|
|
Text Classification (SP)
|
100% |
1292
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
652
870.0 IPS |
|
|
Text Classification (Q)
|
97% |
1217
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1829
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2273
45.7 IPS |