Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
2740
Single Precision Score
2736
Half Precision Score
1814
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | a0545 |
| Upload Date | September 27 2025 06:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 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 | 5.26 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 60.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1968
365.9 IPS |
|
|
Image Classification (HP)
|
100% |
1999
371.8 IPS |
|
|
Image Classification (Q)
|
99% |
1410
262.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2911
47.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2926
47.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1227
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3258
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
3267
3.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
3804
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
2101
166.7 IPS |
|
|
Object Detection (HP)
|
100% |
2122
168.3 IPS |
|
|
Object Detection (Q)
|
85% |
1242
100.0 IPS |
|
|
Face Detection (SP)
|
100% |
3348
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
3347
39.8 IPS |
|
|
Face Detection (Q)
|
97% |
2807
33.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3254
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3246
25.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2229
20.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3618
4.65 IPS |
|
|
Style Transfer (HP)
|
100% |
3645
4.69 IPS |
|
|
Style Transfer (Q)
|
98% |
6494
8.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2009
74.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2018
74.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1761
65.3 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2208
2.95 KIPS |
|
|
Text Classification (Q)
|
92% |
919
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3338
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3292
56.7 IPS |
|
|
Machine Translation (Q)
|
58% |
721
16.9 IPS |
