Minisforum UM890 Pro Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
2790
Single Precision Score
2800
Half Precision Score
1914
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | tenchu0314 |
| Upload Date | December 07 2024 03:17 AM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Micro Computer (HK) Tech Limited EliteMini Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd HPBSD |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.74 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 60.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2075
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
2095
389.5 IPS |
|
|
Image Classification (Q)
|
99% |
1521
283.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2959
48.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2979
48.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1282
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3348
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3318
3.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
3989
4.67 IPS |
|
|
Object Detection (SP)
|
100% |
2187
173.4 IPS |
|
|
Object Detection (HP)
|
100% |
2207
175.0 IPS |
|
|
Object Detection (Q)
|
85% |
1311
105.5 IPS |
|
|
Face Detection (SP)
|
100% |
3322
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3334
39.6 IPS |
|
|
Face Detection (Q)
|
97% |
2909
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3324
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3336
25.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2364
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3649
4.69 IPS |
|
|
Style Transfer (HP)
|
100% |
3689
4.74 IPS |
|
|
Style Transfer (Q)
|
98% |
6732
8.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2069
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2070
76.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1854
68.7 IPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (Q)
|
92% |
976
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3355
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3339
57.5 IPS |
|
|
Machine Translation (Q)
|
58% |
774
18.2 IPS |
