Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
5747
Single Precision Score
6028
Half Precision Score
17502
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 31 2026 02:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS 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 F7BSW |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4069
756.6 IPS |
|
|
Image Classification (HP)
|
100% |
4090
760.6 IPS |
|
|
Image Classification (Q)
|
100% |
11466
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2983
48.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3173
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11526
186.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7940
9.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
8018
9.36 IPS |
|
|
Pose Estimation (Q)
|
98% |
31656
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
3606
286.0 IPS |
|
|
Object Detection (HP)
|
100% |
3578
283.8 IPS |
|
|
Object Detection (Q)
|
88% |
11780
944.3 IPS |
|
|
Face Detection (SP)
|
100% |
7767
92.3 IPS |
|
|
Face Detection (HP)
|
100% |
8083
96.0 IPS |
|
|
Face Detection (Q)
|
100% |
28362
337.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6514
50.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9556
73.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
29637
230.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21464
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20932
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
83188
107.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4674
172.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4665
172.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16177
599.1 IPS |
|
|
Text Classification (SP)
|
100% |
3863
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3883
5.18 KIPS |
|
|
Text Classification (Q)
|
92% |
5952
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5772
99.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5811
100.1 IPS |
|
|
Machine Translation (Q)
|
100% |
8132
140.1 IPS |
