Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
6256
Single Precision Score
6338
Half Precision Score
17585
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | a0545 |
| Upload Date | April 06 2025 03:58 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 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% |
4245
789.3 IPS |
|
|
Image Classification (HP)
|
100% |
4258
791.9 IPS |
|
|
Image Classification (Q)
|
100% |
11662
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4550
73.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4573
74.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11334
183.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8207
9.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
8260
9.64 IPS |
|
|
Pose Estimation (Q)
|
98% |
32645
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
3632
288.1 IPS |
|
|
Object Detection (HP)
|
100% |
3448
273.5 IPS |
|
|
Object Detection (Q)
|
88% |
11593
929.3 IPS |
|
|
Face Detection (SP)
|
100% |
7818
92.9 IPS |
|
|
Face Detection (HP)
|
100% |
8039
95.5 IPS |
|
|
Face Detection (Q)
|
100% |
28595
339.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9424
72.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10398
80.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
30401
236.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20094
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22161
28.5 IPS |
|
|
Style Transfer (Q)
|
98% |
82216
106.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4917
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4704
173.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16778
621.3 IPS |
|
|
Text Classification (SP)
|
100% |
4102
5.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4113
5.49 KIPS |
|
|
Text Classification (Q)
|
92% |
6656
8.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5342
92.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5267
90.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7083
122.0 IPS |
