Partner Tech MeteorLake-U/H
Geekbench AI Score
1678
Single Precision Score
6132
Half Precision Score
9464
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 09:30 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% |
933
173.4 IPS |
|
|
Image Classification (HP)
|
100% |
5710
1.06 KIPS |
|
|
Image Classification (Q)
|
56% |
5404
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2765
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1378
1.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
20888
24.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
44389
52.0 IPS |
|
|
Object Detection (SP)
|
100% |
1105
87.7 IPS |
|
|
Object Detection (HP)
|
100% |
3523
279.5 IPS |
|
|
Object Detection (Q)
|
87% |
5700
457.5 IPS |
|
|
Face Detection (SP)
|
100% |
3638
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
10669
126.8 IPS |
|
|
Face Detection (Q)
|
100% |
18497
219.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2405
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9578
73.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
16457
128.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5222
6.71 IPS |
|
|
Style Transfer (HP)
|
100% |
32914
42.3 IPS |
|
|
Style Transfer (Q)
|
98% |
67697
87.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1269
46.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9091
335.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17244
638.6 IPS |
|
|
Text Classification (SP)
|
100% |
1552
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1185
1.58 KIPS |
|
|
Text Classification (Q)
|
92% |
1528
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2476
42.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2811
48.4 IPS |
