Winmate Inc. IMT32
Geekbench AI Score
1615
Single Precision Score
5783
Half Precision Score
9224
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 03:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Winmate Inc. IMT32 |
| Motherboard | Winmate Inc. IMT32 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) CoreTM Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1058
196.7 IPS |
|
|
Image Classification (HP)
|
100% |
4846
901.2 IPS |
|
|
Image Classification (Q)
|
100% |
6987
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2565
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2086
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
27342
31.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
56033
65.6 IPS |
|
|
Object Detection (SP)
|
100% |
987
78.3 IPS |
|
|
Object Detection (HP)
|
100% |
3574
283.5 IPS |
|
|
Object Detection (Q)
|
89% |
6474
518.5 IPS |
|
|
Face Detection (SP)
|
100% |
2563
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
7263
86.3 IPS |
|
|
Face Detection (Q)
|
100% |
16156
192.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2382
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9942
76.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
20294
157.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6448
8.29 IPS |
|
|
Style Transfer (HP)
|
100% |
32190
41.4 IPS |
|
|
Style Transfer (Q)
|
98% |
59718
77.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1287
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9806
362.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16521
611.8 IPS |
|
|
Text Classification (SP)
|
100% |
447
597.0 IPS |
|
|
Text Classification (HP)
|
100% |
1062
1.42 KIPS |
|
|
Text Classification (Q)
|
92% |
1079
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1689
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1897
32.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1965
33.8 IPS |
