Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
18491
Single Precision Score
36595
Half Precision Score
38126
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | aguyngueran |
| Upload Date | October 07 2025 05:55 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9726
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
20318
3.78 KIPS |
|
|
Image Classification (Q)
|
100% |
20406
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15488
251.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22736
368.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23780
385.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
80301
93.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
328329
383.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
590614
691.5 IPS |
|
|
Object Detection (SP)
|
100% |
8070
640.1 IPS |
|
|
Object Detection (HP)
|
100% |
20681
1.64 KIPS |
|
|
Object Detection (Q)
|
88% |
21758
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
21354
253.7 IPS |
|
|
Face Detection (HP)
|
100% |
44759
531.8 IPS |
|
|
Face Detection (Q)
|
100% |
50895
604.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
58152
448.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
123275
949.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
139540
1.09 KIPS |
|
|
Style Transfer (SP)
|
100% |
171411
220.4 IPS |
|
|
Style Transfer (HP)
|
100% |
520741
669.4 IPS |
|
|
Style Transfer (Q)
|
98% |
576165
743.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30907
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48410
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39934
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2731
3.65 KIPS |
|
|
Text Classification (Q)
|
92% |
1712
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2489
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3615
62.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3721
64.1 IPS |
