Partner Tech MeteorLake-U/H
Geekbench AI Score
5466
Single Precision Score
9234
Half Precision Score
13736
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 09:26 AM |
| Views | 4 |
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% |
4550
846.2 IPS |
|
|
Image Classification (HP)
|
100% |
7505
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
7393
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2686
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7324
118.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9931
161.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12836
15.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
17209
20.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
39019
45.7 IPS |
|
|
Object Detection (SP)
|
100% |
3721
295.2 IPS |
|
|
Object Detection (HP)
|
100% |
6989
554.4 IPS |
|
|
Object Detection (Q)
|
88% |
10537
844.4 IPS |
|
|
Face Detection (SP)
|
100% |
4818
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
9907
117.7 IPS |
|
|
Face Detection (Q)
|
100% |
16641
197.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13251
102.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
20540
158.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
30464
236.8 IPS |
|
|
Style Transfer (SP)
|
100% |
34403
44.2 IPS |
|
|
Style Transfer (HP)
|
100% |
44495
57.2 IPS |
|
|
Style Transfer (Q)
|
98% |
136241
175.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7347
271.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13117
484.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19807
733.5 IPS |
|
|
Text Classification (SP)
|
71% |
1515
2.19 KIPS |
|
|
Text Classification (HP)
|
71% |
2508
3.63 KIPS |
|
|
Text Classification (Q)
|
92% |
2335
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1670
28.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2290
39.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2481
42.7 IPS |
