Partner Tech MeteorLake-U/H
Geekbench AI Score
1196
Single Precision Score
1271
Half Precision Score
3285
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 09:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125H |
| 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% |
793
147.5 IPS |
|
|
Image Classification (HP)
|
100% |
886
164.7 IPS |
|
|
Image Classification (Q)
|
100% |
1541
286.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1072
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1898
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1230
1.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
1320
1.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
5707
6.69 IPS |
|
|
Object Detection (SP)
|
100% |
621
49.3 IPS |
|
|
Object Detection (HP)
|
100% |
400
31.7 IPS |
|
|
Object Detection (Q)
|
88% |
1850
148.3 IPS |
|
|
Face Detection (SP)
|
100% |
1906
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
2752
32.7 IPS |
|
|
Face Detection (Q)
|
100% |
5734
68.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1446
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1672
12.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
6771
52.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4287
5.51 IPS |
|
|
Style Transfer (HP)
|
100% |
4637
5.96 IPS |
|
|
Style Transfer (Q)
|
98% |
22372
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
927
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
915
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4304
159.4 IPS |
|
|
Text Classification (SP)
|
100% |
1069
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1263
1.69 KIPS |
|
|
Text Classification (Q)
|
92% |
2129
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (Q)
|
100% |
596
10.3 IPS |
