Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
2800
Single Precision Score
1386
Half Precision Score
4402
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 03:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS |
| 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 | Balanced |
| 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% |
1780
331.1 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.3 IPS |
|
|
Image Classification (Q)
|
99% |
3626
676.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
439
7.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
465
7.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
2770
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6444
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
5173
6.04 IPS |
|
|
Pose Estimation (Q)
|
95% |
22211
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
1764
139.9 IPS |
|
|
Object Detection (HP)
|
100% |
658
52.2 IPS |
|
|
Object Detection (Q)
|
88% |
1805
144.7 IPS |
|
|
Face Detection (SP)
|
100% |
3347
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
1509
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
4940
58.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7309
56.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2208
17.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
5210
41.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15524
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13122
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23874
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2463
91.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2057
76.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3139
116.2 IPS |
|
|
Text Classification (SP)
|
100% |
1770
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
655
874.6 IPS |
|
|
Text Classification (Q)
|
97% |
1495
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2021
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
559
9.63 IPS |
|
|
Machine Translation (Q)
|
60% |
2356
52.5 IPS |
