Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
7804
Single Precision Score
11367
Half Precision Score
5824
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | rafaeldelrey |
| Upload Date | August 27 2025 02:07 AM |
| Views | 5 |
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 F7BSW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2883
536.1 IPS |
|
|
Image Classification (HP)
|
100% |
4639
862.8 IPS |
|
|
Image Classification (Q)
|
100% |
2796
520.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4025
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4946
80.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3216
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
39284
45.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
70611
82.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
28559
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
2655
210.6 IPS |
|
|
Object Detection (HP)
|
100% |
3694
293.0 IPS |
|
|
Object Detection (Q)
|
87% |
2442
196.1 IPS |
|
|
Face Detection (SP)
|
100% |
5933
70.5 IPS |
|
|
Face Detection (HP)
|
100% |
10894
129.4 IPS |
|
|
Face Detection (Q)
|
97% |
4973
59.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17363
133.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25928
199.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
13383
107.3 IPS |
|
|
Style Transfer (SP)
|
100% |
66119
85.0 IPS |
|
|
Style Transfer (HP)
|
100% |
107010
137.6 IPS |
|
|
Style Transfer (Q)
|
98% |
44817
57.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11828
436.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19307
712.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7974
295.3 IPS |
|
|
Text Classification (SP)
|
100% |
2474
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2765
3.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1756
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3476
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1715
32.2 IPS |
