Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
7557
Single Precision Score
11275
Half Precision Score
5766
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kazk |
| Upload Date | April 27 2025 01:54 AM |
| Views | 16 |
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 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% |
2715
504.9 IPS |
|
|
Image Classification (HP)
|
100% |
4585
852.7 IPS |
|
|
Image Classification (Q)
|
100% |
2465
458.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4033
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4998
81.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3305
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
38406
44.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
68368
79.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
28253
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
2621
207.9 IPS |
|
|
Object Detection (HP)
|
100% |
3523
279.5 IPS |
|
|
Object Detection (Q)
|
87% |
2451
196.8 IPS |
|
|
Face Detection (SP)
|
100% |
5982
71.1 IPS |
|
|
Face Detection (HP)
|
100% |
10913
129.7 IPS |
|
|
Face Detection (Q)
|
97% |
5162
61.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17217
132.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24638
189.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
13486
108.1 IPS |
|
|
Style Transfer (SP)
|
100% |
64798
83.3 IPS |
|
|
Style Transfer (HP)
|
100% |
106162
136.5 IPS |
|
|
Style Transfer (Q)
|
98% |
44764
57.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10818
399.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19937
736.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7617
282.1 IPS |
|
|
Text Classification (SP)
|
100% |
2473
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2814
3.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1792
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3089
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3757
64.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1695
31.8 IPS |
