Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
7582
Single Precision Score
11701
Half Precision Score
5821
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 06:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| 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 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2382
442.9 IPS |
|
|
Image Classification (HP)
|
100% |
4771
887.2 IPS |
|
|
Image Classification (Q)
|
100% |
2734
508.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3774
61.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4601
74.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3280
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
42478
49.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
73865
86.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
28836
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
2506
198.8 IPS |
|
|
Object Detection (HP)
|
100% |
3859
306.1 IPS |
|
|
Object Detection (Q)
|
87% |
2337
187.7 IPS |
|
|
Face Detection (SP)
|
100% |
5722
68.0 IPS |
|
|
Face Detection (HP)
|
100% |
10712
127.3 IPS |
|
|
Face Detection (Q)
|
97% |
5100
60.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16320
125.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
28167
217.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
13109
105.1 IPS |
|
|
Style Transfer (SP)
|
100% |
70607
90.8 IPS |
|
|
Style Transfer (HP)
|
100% |
113181
145.5 IPS |
|
|
Style Transfer (Q)
|
98% |
46580
60.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13782
508.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22864
844.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9119
337.7 IPS |
|
|
Text Classification (SP)
|
100% |
2381
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3135
4.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1669
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3034
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3143
54.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1562
29.3 IPS |
