Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
106
Single Precision Score
112
Half Precision Score
84
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 01 2025 11:15 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 PRO 8945HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.2 |
| Model | Micro Computer (HK) Tech Limited EliteMini Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd HPBSD |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 PRO 8945HS w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.26 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 29.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1939
360.6 IPS |
|
|
Image Classification (HP)
|
100% |
1966
365.6 IPS |
|
|
Image Classification (Q)
|
99% |
794
148.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
363
5.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
359
5.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
100
1.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
572
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
575
0.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
447
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
23
1.79 IPS |
|
|
Object Detection (HP)
|
100% |
32
2.57 IPS |
|
|
Object Detection (Q)
|
85% |
35
2.80 IPS |
|
|
Face Detection (SP)
|
100% |
127
1.51 IPS |
|
|
Face Detection (HP)
|
100% |
140
1.66 IPS |
|
|
Face Detection (Q)
|
97% |
125
1.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
130
1.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
138
1.06 IPS |
|
|
Depth Estimation (Q)
|
63% |
108
1.01 IPS |
|
|
Style Transfer (SP)
|
100% |
716
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
804
1.03 IPS |
|
|
Style Transfer (Q)
|
98% |
964
1.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63
2.32 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
70
2.57 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
67
2.49 IPS |
|
|
Text Classification (SP)
|
100% |
4
4.75 IPS |
|
|
Text Classification (HP)
|
100% |
4
4.67 IPS |
|
|
Text Classification (Q)
|
92% |
3
4.65 IPS |
|
|
Machine Translation (SP)
|
100% |
7
0.12 IPS |
|
|
Machine Translation (HP)
|
100% |
6
0.11 IPS |
|
|
Machine Translation (Q)
|
58% |
6
0.13 IPS |
