Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
18948
Single Precision Score
22788
Half Precision Score
16538
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 07:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| 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% |
7322
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7553
1.40 KIPS |
|
|
Image Classification (Q)
|
99% |
6647
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7968
129.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7993
129.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7643
124.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
179145
209.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
378902
442.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
166208
194.7 IPS |
|
|
Object Detection (SP)
|
100% |
8581
680.7 IPS |
|
|
Object Detection (HP)
|
99% |
9256
734.2 IPS |
|
|
Object Detection (Q)
|
87% |
7962
639.4 IPS |
|
|
Face Detection (SP)
|
100% |
19502
231.7 IPS |
|
|
Face Detection (HP)
|
100% |
20952
249.0 IPS |
|
|
Face Detection (Q)
|
97% |
17982
214.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
65949
508.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
85818
661.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
55550
445.2 IPS |
|
|
Style Transfer (SP)
|
100% |
301848
388.0 IPS |
|
|
Style Transfer (HP)
|
100% |
443669
570.3 IPS |
|
|
Style Transfer (Q)
|
98% |
277588
357.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35890
1.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48834
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30762
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2211
2.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1662
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2074
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2071
35.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1606
30.1 IPS |
