Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
2980
Single Precision Score
8708
Half Precision Score
13234
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | miaLDN |
| Upload Date | June 28 2025 02:39 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited EliteMini Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd MTBSD |
| 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 | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1235
229.6 IPS |
|
|
Image Classification (HP)
|
100% |
6166
1.15 KIPS |
|
|
Image Classification (Q)
|
100% |
8516
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2190
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3116
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4795
5.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
30638
35.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
66180
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1523
120.8 IPS |
|
|
Object Detection (HP)
|
100% |
5356
424.8 IPS |
|
|
Object Detection (Q)
|
87% |
8850
710.3 IPS |
|
|
Face Detection (SP)
|
100% |
4686
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
14868
176.7 IPS |
|
|
Face Detection (Q)
|
100% |
27221
323.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4837
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16406
126.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
30552
237.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13953
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
47465
61.0 IPS |
|
|
Style Transfer (Q)
|
98% |
87593
113.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2316
85.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12668
467.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20964
776.4 IPS |
|
|
Text Classification (SP)
|
100% |
1566
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1781
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
1784
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2440
42.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3855
66.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3894
67.1 IPS |
