Micro Computer (HK) Tech Limited AtomMan X Series
Geekbench AI Score
29439
Single Precision Score
36619
Half Precision Score
23601
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 30 2025 01:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| 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 | High performance |
| 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% |
10475
1.95 KIPS |
|
|
Image Classification (HP)
|
99% |
12900
2.41 KIPS |
|
|
Image Classification (Q)
|
100% |
9385
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14972
242.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16827
272.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
14114
229.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
301870
352.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
459373
536.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
263843
309.1 IPS |
|
|
Object Detection (SP)
|
100% |
13182
1.05 KIPS |
|
|
Object Detection (HP)
|
100% |
15348
1.22 KIPS |
|
|
Object Detection (Q)
|
86% |
11631
934.4 IPS |
|
|
Face Detection (SP)
|
100% |
35528
422.1 IPS |
|
|
Face Detection (HP)
|
100% |
39419
468.4 IPS |
|
|
Face Detection (Q)
|
97% |
31080
370.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
87203
671.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
128951
993.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
65710
525.5 IPS |
|
|
Style Transfer (SP)
|
100% |
488740
628.3 IPS |
|
|
Style Transfer (HP)
|
100% |
788304
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
424964
548.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48230
1.78 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58204
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37798
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
3365
4.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1918
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3644
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2097
39.3 IPS |
