Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
7169
Single Precision Score
11158
Half Precision Score
5261
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 15 2026 02:04 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 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2757
512.7 IPS |
|
|
Image Classification (HP)
|
100% |
4340
807.0 IPS |
|
|
Image Classification (Q)
|
100% |
2519
468.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3377
54.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4360
70.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2722
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
36539
42.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
71135
83.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
25510
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
2457
194.9 IPS |
|
|
Object Detection (HP)
|
100% |
3762
298.4 IPS |
|
|
Object Detection (Q)
|
87% |
2289
183.9 IPS |
|
|
Face Detection (SP)
|
100% |
5158
61.3 IPS |
|
|
Face Detection (HP)
|
100% |
9883
117.4 IPS |
|
|
Face Detection (Q)
|
97% |
4201
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16247
125.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
27046
208.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
12325
98.8 IPS |
|
|
Style Transfer (SP)
|
100% |
64790
83.3 IPS |
|
|
Style Transfer (HP)
|
100% |
112609
144.8 IPS |
|
|
Style Transfer (Q)
|
98% |
41171
53.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12409
458.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21626
798.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7825
289.8 IPS |
|
|
Text Classification (SP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2880
3.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1587
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2865
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3153
54.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1534
28.8 IPS |
