UM760Slim Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
1827
Single Precision Score
1848
Half Precision Score
1510
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | knedle |
| Upload Date | September 22 2025 09:59 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 7640HS |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Micro Computer (HK) Tech Limited EliteMini Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BSI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7640HS |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.02 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 14.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1341
249.4 IPS |
|
|
Image Classification (HP)
|
100% |
1372
255.2 IPS |
|
|
Image Classification (Q)
|
99% |
1020
190.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2034
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2029
32.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1045
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2110
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2125
2.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
2932
3.44 IPS |
|
|
Object Detection (SP)
|
100% |
1484
117.7 IPS |
|
|
Object Detection (HP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (Q)
|
85% |
1012
81.4 IPS |
|
|
Face Detection (SP)
|
100% |
1797
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
1995
23.7 IPS |
|
|
Face Detection (Q)
|
97% |
2408
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2050
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2041
15.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1921
18.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2229
2.87 IPS |
|
|
Style Transfer (HP)
|
100% |
2230
2.87 IPS |
|
|
Style Transfer (Q)
|
98% |
5076
6.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1689
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1689
62.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1458
54.0 IPS |
|
|
Text Classification (SP)
|
100% |
1871
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1846
2.46 KIPS |
|
|
Text Classification (Q)
|
92% |
833
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1873
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1854
31.9 IPS |
|
|
Machine Translation (Q)
|
58% |
684
16.1 IPS |
