Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
7517
Single Precision Score
11805
Half Precision Score
5693
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | beret |
| Upload Date | April 09 2025 01:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Micro Computer (HK) Tech Limited EliteMini Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd HPBSD |
| Power Plan | Zrwnowaony |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3038
565.0 IPS |
|
|
Image Classification (HP)
|
100% |
4598
855.2 IPS |
|
|
Image Classification (Q)
|
100% |
2836
527.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3931
63.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4889
79.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3192
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
37280
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
70607
82.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
27373
32.1 IPS |
|
|
Object Detection (SP)
|
100% |
2527
200.5 IPS |
|
|
Object Detection (HP)
|
100% |
3806
301.9 IPS |
|
|
Object Detection (Q)
|
87% |
2366
190.0 IPS |
|
|
Face Detection (SP)
|
100% |
5788
68.8 IPS |
|
|
Face Detection (HP)
|
100% |
10448
124.1 IPS |
|
|
Face Detection (Q)
|
97% |
4836
57.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16398
126.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
28504
219.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
12660
101.5 IPS |
|
|
Style Transfer (SP)
|
100% |
63850
82.1 IPS |
|
|
Style Transfer (HP)
|
100% |
109300
140.5 IPS |
|
|
Style Transfer (Q)
|
98% |
44041
56.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11672
431.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22660
836.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8103
300.0 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1693
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3149
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3710
63.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1651
31.0 IPS |
