Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
3852
Single Precision Score
1937
Half Precision Score
4567
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 01:30 PM |
| Views | 3 |
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 | Ausbalanciert |
| 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% |
2280
424.0 IPS |
|
|
Image Classification (HP)
|
100% |
660
122.8 IPS |
|
|
Image Classification (Q)
|
99% |
5457
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1008
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2837
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7860
9.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
6803
7.94 IPS |
|
|
Pose Estimation (Q)
|
95% |
27577
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
2675
212.2 IPS |
|
|
Object Detection (HP)
|
100% |
879
69.7 IPS |
|
|
Object Detection (Q)
|
88% |
2432
194.9 IPS |
|
|
Face Detection (SP)
|
100% |
3770
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
2012
23.9 IPS |
|
|
Face Detection (Q)
|
97% |
5583
66.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8859
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2982
23.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
5380
43.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18945
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16612
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29154
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3091
114.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2875
106.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3952
146.3 IPS |
|
|
Text Classification (SP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
856
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
458
613.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2443
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2400
53.5 IPS |
