| User | Nerdbench |
| Upload Date | January 11 2026 05:04 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3947
733.9 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.8 IPS |
|
|
Image Classification (Q)
|
99% |
6063
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1584
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11037
179.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9883
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4162
4.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
27508
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
3489
276.8 IPS |
|
|
Object Detection (HP)
|
100% |
669
53.0 IPS |
|
|
Object Detection (Q)
|
86% |
6885
553.3 IPS |
|
|
Face Detection (SP)
|
100% |
10156
120.7 IPS |
|
|
Face Detection (HP)
|
100% |
1555
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
10158
121.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10082
77.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1917
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
15965
127.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21025
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10365
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
19920
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3139
115.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1837
67.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5315
196.8 IPS |
|
|
Text Classification (SP)
|
100% |
1211
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
619
826.5 IPS |
|
|
Text Classification (Q)
|
97% |
1291
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1883
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3146
63.2 IPS |