Micro Computer (HK) Tech Limited AtomMan Series
Geekbench AI Score
19911
Single Precision Score
37987
Half Precision Score
15472
Quantized Score
Geekbench AI 1.6.0 Pro for Windows AVX2
Result Information
| User | Nerdbench |
| Upload Date | January 11 2026 07:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited AtomMan Series |
| Motherboard | Meigao Innovation Technology (Shen Zhen) Co.,Ltd RPDMB |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7171
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
16325
3.04 KIPS |
|
|
Image Classification (Q)
|
100% |
6709
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14541
235.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21876
354.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13726
223.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
104476
121.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
349341
407.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
100328
117.5 IPS |
|
|
Object Detection (SP)
|
100% |
10806
857.2 IPS |
|
|
Object Detection (HP)
|
100% |
19780
1.57 KIPS |
|
|
Object Detection (Q)
|
83% |
9381
758.0 IPS |
|
|
Face Detection (SP)
|
100% |
25731
305.7 IPS |
|
|
Face Detection (HP)
|
100% |
46117
548.0 IPS |
|
|
Face Detection (Q)
|
97% |
23846
284.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
43808
337.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94983
731.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
34336
274.1 IPS |
|
|
Style Transfer (SP)
|
100% |
146211
188.0 IPS |
|
|
Style Transfer (HP)
|
100% |
485159
623.7 IPS |
|
|
Style Transfer (Q)
|
98% |
132579
171.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26947
995.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54697
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21116
781.9 IPS |
|
|
Text Classification (SP)
|
100% |
3719
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3871
5.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2201
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5038
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5635
97.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1798
33.7 IPS |
