Micro Computer (HK) Tech Limited AtomMan X Series
Geekbench AI Score
3090
Single Precision Score
1258
Half Precision Score
5533
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | olku1979 |
| Upload Date | February 08 2025 11:37 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 | Balanced |
| 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% |
2526
469.7 IPS |
|
|
Image Classification (HP)
|
100% |
442
82.2 IPS |
|
|
Image Classification (Q)
|
99% |
4836
901.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1055
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
751
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2833
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5492
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3849
4.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
19814
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
2389
189.5 IPS |
|
|
Object Detection (HP)
|
100% |
553
43.9 IPS |
|
|
Object Detection (Q)
|
86% |
5150
413.9 IPS |
|
|
Face Detection (SP)
|
100% |
6451
76.6 IPS |
|
|
Face Detection (HP)
|
100% |
1337
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
7677
91.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6712
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1788
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
11826
94.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13197
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9431
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18235
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2243
82.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1777
65.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3335
123.5 IPS |
|
|
Text Classification (SP)
|
100% |
1140
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
576
768.5 IPS |
|
|
Text Classification (Q)
|
97% |
1429
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1555
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
612
10.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2442
49.1 IPS |
