Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
3224
Single Precision Score
1587
Half Precision Score
6706
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | beret |
| Upload Date | May 23 2025 09:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited EliteMini Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd HPBSD |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2323
432.0 IPS |
|
|
Image Classification (HP)
|
100% |
602
112.0 IPS |
|
|
Image Classification (Q)
|
99% |
7745
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
799
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3552
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4542
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
5279
6.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
22418
26.3 IPS |
|
|
Object Detection (SP)
|
100% |
2201
174.6 IPS |
|
|
Object Detection (HP)
|
100% |
741
58.7 IPS |
|
|
Object Detection (Q)
|
86% |
7514
603.9 IPS |
|
|
Face Detection (SP)
|
100% |
5384
64.0 IPS |
|
|
Face Detection (HP)
|
100% |
1782
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
11024
131.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10131
78.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2337
18.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7256
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13581
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11404
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24934
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1966
72.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1869
69.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3353
124.1 IPS |
|
|
Text Classification (SP)
|
100% |
1447
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1769
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2166
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3358
67.5 IPS |
