Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
7762
Single Precision Score
11826
Half Precision Score
5739
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 05 2025 01:50 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 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 PRO 8945HS w/ Radeon 780M Graphics |
| 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% |
2874
534.5 IPS |
|
|
Image Classification (HP)
|
100% |
4307
800.9 IPS |
|
|
Image Classification (Q)
|
100% |
2746
510.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3918
63.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4949
80.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3210
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
37613
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
75131
87.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
26887
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.9 IPS |
|
|
Object Detection (HP)
|
100% |
3985
316.1 IPS |
|
|
Object Detection (Q)
|
87% |
2577
206.9 IPS |
|
|
Face Detection (SP)
|
100% |
5981
71.1 IPS |
|
|
Face Detection (HP)
|
100% |
11177
132.8 IPS |
|
|
Face Detection (Q)
|
97% |
4899
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17830
137.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
27624
212.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
13457
107.9 IPS |
|
|
Style Transfer (SP)
|
100% |
66156
85.0 IPS |
|
|
Style Transfer (HP)
|
100% |
116481
149.7 IPS |
|
|
Style Transfer (Q)
|
98% |
44457
57.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12834
473.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21842
806.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8084
299.3 IPS |
|
|
Text Classification (SP)
|
100% |
2356
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3051
4.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1657
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3292
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3499
60.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1619
30.4 IPS |
