| User | Nerdbench |
| Upload Date | January 11 2026 07:01 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900HX |
| 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 |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3129
581.9 IPS |
|
|
Image Classification (HP)
|
100% |
3116
579.5 IPS |
|
|
Image Classification (Q)
|
100% |
9548
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3595
58.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3581
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10710
173.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8345
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
8353
9.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
29693
34.8 IPS |
|
|
Object Detection (SP)
|
100% |
2731
216.6 IPS |
|
|
Object Detection (HP)
|
100% |
2722
215.9 IPS |
|
|
Object Detection (Q)
|
88% |
9775
783.6 IPS |
|
|
Face Detection (SP)
|
100% |
9115
108.3 IPS |
|
|
Face Detection (HP)
|
100% |
9117
108.3 IPS |
|
|
Face Detection (Q)
|
100% |
23221
275.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7214
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7618
58.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
25932
201.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20617
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20780
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
64595
83.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4039
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4104
151.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15455
572.4 IPS |
|
|
Text Classification (SP)
|
100% |
2439
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2457
3.28 KIPS |
|
|
Text Classification (Q)
|
92% |
5039
6.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2479
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2283
39.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2186
37.7 IPS |