Partner Tech MeteorLake-U/H
Geekbench AI Score
5871
Single Precision Score
9854
Half Precision Score
15145
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 04:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
4229
786.5 IPS |
|
|
Image Classification (HP)
|
100% |
6836
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
8098
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2685
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7752
125.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11144
180.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16121
18.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
17635
20.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
54202
63.5 IPS |
|
|
Object Detection (SP)
|
100% |
3914
310.5 IPS |
|
|
Object Detection (HP)
|
100% |
7295
578.6 IPS |
|
|
Object Detection (Q)
|
88% |
11181
896.0 IPS |
|
|
Face Detection (SP)
|
100% |
5096
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
10720
127.4 IPS |
|
|
Face Detection (Q)
|
100% |
20322
241.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13341
102.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
25349
195.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
32289
251.0 IPS |
|
|
Style Transfer (SP)
|
100% |
38454
49.4 IPS |
|
|
Style Transfer (HP)
|
100% |
60300
77.5 IPS |
|
|
Style Transfer (Q)
|
98% |
134078
172.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7211
266.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13095
483.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20229
749.1 IPS |
|
|
Text Classification (SP)
|
71% |
1678
2.43 KIPS |
|
|
Text Classification (HP)
|
71% |
2216
3.21 KIPS |
|
|
Text Classification (Q)
|
92% |
2379
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2149
37.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2665
46.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2742
47.2 IPS |
