Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
21415
Single Precision Score
30403
Half Precision Score
13637
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | beret |
| Upload Date | May 23 2025 09:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| 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 | 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% |
7902
1.47 KIPS |
|
|
Image Classification (HP)
|
99% |
10528
1.96 KIPS |
|
|
Image Classification (Q)
|
100% |
5557
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12271
198.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15564
252.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8993
146.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
167449
195.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
327389
382.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
127546
149.4 IPS |
|
|
Object Detection (SP)
|
100% |
10357
821.5 IPS |
|
|
Object Detection (HP)
|
100% |
13518
1.07 KIPS |
|
|
Object Detection (Q)
|
85% |
7360
592.1 IPS |
|
|
Face Detection (SP)
|
100% |
26841
318.9 IPS |
|
|
Face Detection (HP)
|
100% |
35028
416.2 IPS |
|
|
Face Detection (Q)
|
97% |
19010
226.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
57277
441.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
96129
740.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
34914
279.6 IPS |
|
|
Style Transfer (SP)
|
100% |
259609
333.7 IPS |
|
|
Style Transfer (HP)
|
100% |
560721
720.8 IPS |
|
|
Style Transfer (Q)
|
98% |
185135
238.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34474
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45282
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20440
756.8 IPS |
|
|
Text Classification (SP)
|
100% |
2729
3.64 KIPS |
|
|
Text Classification (HP)
|
99% |
3415
4.56 KIPS |
|
|
Text Classification (Q)
|
97% |
1398
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3214
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3188
54.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1351
25.3 IPS |
