Partner Tech MeteorLake-U/H
Geekbench AI Score
1279
Single Precision Score
7157
Half Precision Score
11101
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 03:57 AM |
| Views | 3 |
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 | Partner Tech MeteorLake-U/H |
| Motherboard | Partner Tech MeteorLake-U/H |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1033
192.2 IPS |
|
|
Image Classification (HP)
|
100% |
5678
1.06 KIPS |
|
|
Image Classification (Q)
|
56% |
5319
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2525
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3457
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1839
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
20910
24.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
55035
64.5 IPS |
|
|
Object Detection (SP)
|
100% |
593
47.0 IPS |
|
|
Object Detection (HP)
|
100% |
3837
304.3 IPS |
|
|
Object Detection (Q)
|
87% |
7566
607.2 IPS |
|
|
Face Detection (SP)
|
100% |
1965
23.4 IPS |
|
|
Face Detection (HP)
|
100% |
10901
129.5 IPS |
|
|
Face Detection (Q)
|
100% |
20154
239.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1990
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11620
89.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
23130
180.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4201
5.40 IPS |
|
|
Style Transfer (HP)
|
100% |
36306
46.7 IPS |
|
|
Style Transfer (Q)
|
98% |
68760
88.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
848
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11544
426.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19177
710.2 IPS |
|
|
Text Classification (SP)
|
100% |
801
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1778
2.37 KIPS |
|
|
Text Classification (Q)
|
92% |
1735
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3250
56.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3483
60.0 IPS |
