Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
3004
Single Precision Score
2974
Half Precision Score
6915
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | miaLDN |
| Upload Date | June 28 2025 02:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125H |
| 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% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
1395
259.4 IPS |
|
|
Image Classification (Q)
|
100% |
4380
814.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2484
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4203
68.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4772
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4771
5.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
14113
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1303
103.4 IPS |
|
|
Object Detection (HP)
|
100% |
1293
102.5 IPS |
|
|
Object Detection (Q)
|
88% |
4095
328.3 IPS |
|
|
Face Detection (SP)
|
100% |
4743
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
4783
56.8 IPS |
|
|
Face Detection (Q)
|
100% |
9283
110.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4850
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4866
37.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
10885
84.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14049
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14106
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
45224
58.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2332
86.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2272
83.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7185
266.1 IPS |
|
|
Text Classification (SP)
|
100% |
1577
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1637
2.19 KIPS |
|
|
Text Classification (Q)
|
92% |
3011
4.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2345
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2379
41.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2380
41.0 IPS |
