Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
4577
Single Precision Score
4631
Half Precision Score
12498
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | aguyngueran |
| Upload Date | October 07 2025 06:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS w/ Radeon 780M Graphics |
| 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 HPBSD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3279
609.8 IPS |
|
|
Image Classification (HP)
|
100% |
3143
584.6 IPS |
|
|
Image Classification (Q)
|
100% |
8012
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3188
51.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3213
52.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8106
131.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5847
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
5830
6.80 IPS |
|
|
Pose Estimation (Q)
|
98% |
22775
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
2335
185.2 IPS |
|
|
Object Detection (HP)
|
100% |
2347
186.2 IPS |
|
|
Object Detection (Q)
|
88% |
6484
519.8 IPS |
|
|
Face Detection (SP)
|
100% |
5665
67.3 IPS |
|
|
Face Detection (HP)
|
100% |
6066
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
18968
225.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6746
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6910
53.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
19461
151.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15222
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15550
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
61672
79.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3000
110.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3117
115.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14588
540.3 IPS |
|
|
Text Classification (SP)
|
100% |
3712
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3614
4.82 KIPS |
|
|
Text Classification (Q)
|
92% |
5489
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4369
75.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4474
77.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5321
91.7 IPS |
