Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
6915
Single Precision Score
10614
Half Precision Score
5181
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 07:49 AM |
| Views | 3 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2679
498.3 IPS |
|
|
Image Classification (HP)
|
100% |
3850
715.9 IPS |
|
|
Image Classification (Q)
|
100% |
2450
455.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3371
54.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4277
69.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2741
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
34545
40.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
66209
77.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
24780
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2444
193.9 IPS |
|
|
Object Detection (HP)
|
100% |
3546
281.3 IPS |
|
|
Object Detection (Q)
|
87% |
2256
181.2 IPS |
|
|
Face Detection (SP)
|
100% |
5208
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
9997
118.8 IPS |
|
|
Face Detection (Q)
|
97% |
4381
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15910
122.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25575
197.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
12158
97.5 IPS |
|
|
Style Transfer (SP)
|
100% |
58043
74.6 IPS |
|
|
Style Transfer (HP)
|
100% |
104584
134.4 IPS |
|
|
Style Transfer (Q)
|
98% |
39337
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11756
434.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20223
746.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7732
286.3 IPS |
|
|
Text Classification (SP)
|
100% |
2060
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2875
3.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1517
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2818
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3020
52.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1512
28.4 IPS |
