Micro Computer (HK) Tech Limited AtomMan X Series
Geekbench AI Score
26711
Single Precision Score
33741
Half Precision Score
21793
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 30 2025 01:27 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% |
10456
1.94 KIPS |
|
|
Image Classification (HP)
|
99% |
12690
2.37 KIPS |
|
|
Image Classification (Q)
|
100% |
9551
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14933
242.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17004
275.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14074
228.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
291012
339.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
459125
535.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
244282
286.2 IPS |
|
|
Object Detection (SP)
|
100% |
11846
939.6 IPS |
|
|
Object Detection (HP)
|
100% |
13687
1.09 KIPS |
|
|
Object Detection (Q)
|
86% |
10518
845.0 IPS |
|
|
Face Detection (SP)
|
100% |
30406
361.3 IPS |
|
|
Face Detection (HP)
|
100% |
33963
403.6 IPS |
|
|
Face Detection (Q)
|
97% |
27509
328.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
81908
631.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
119144
917.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
62236
497.8 IPS |
|
|
Style Transfer (SP)
|
100% |
446237
573.6 IPS |
|
|
Style Transfer (HP)
|
100% |
704663
905.9 IPS |
|
|
Style Transfer (Q)
|
98% |
383056
493.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41907
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53241
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34457
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (HP)
|
99% |
2833
3.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1594
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2996
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3280
56.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1943
36.4 IPS |
