Micro Computer (HK) Tech Limited AtomMan X Series
Geekbench AI Score
3037
Single Precision Score
752
Half Precision Score
4449
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Wilhelm |
| Upload Date | October 05 2024 09:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited AtomMan X Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd MTBAC |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1769
329.1 IPS |
|
|
Image Classification (HP)
|
100% |
144
26.8 IPS |
|
|
Image Classification (Q)
|
99% |
3288
613.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
266
4.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
2941
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5955
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
3943
4.60 IPS |
|
|
Pose Estimation (Q)
|
95% |
22065
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
1961
155.6 IPS |
|
|
Object Detection (HP)
|
100% |
205
16.3 IPS |
|
|
Object Detection (Q)
|
88% |
1777
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
3623
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
301
3.58 IPS |
|
|
Face Detection (Q)
|
97% |
3798
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6700
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
920
7.09 IPS |
|
|
Depth Estimation (Q)
|
76% |
7683
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13877
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9786
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19196
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2663
98.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1779
65.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3920
145.2 IPS |
|
|
Text Classification (SP)
|
100% |
1454
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
614
819.1 IPS |
|
|
Text Classification (Q)
|
97% |
1528
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1776
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2391
53.3 IPS |
