| User | Nerdbench |
| Upload Date | January 11 2026 05:25 PM |
| Views | 4 |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3148
585.4 IPS |
|
|
Image Classification (HP)
|
100% |
3144
584.8 IPS |
|
|
Image Classification (Q)
|
100% |
9269
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3341
54.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3471
56.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10056
163.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8159
9.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
8145
9.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
29701
34.8 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.5 IPS |
|
|
Object Detection (HP)
|
100% |
2570
203.8 IPS |
|
|
Object Detection (Q)
|
88% |
9817
786.9 IPS |
|
|
Face Detection (SP)
|
100% |
8208
97.5 IPS |
|
|
Face Detection (HP)
|
100% |
8429
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
23156
275.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7109
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7123
54.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
25819
200.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22160
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21863
28.1 IPS |
|
|
Style Transfer (Q)
|
98% |
82460
106.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3621
133.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3522
130.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15520
574.8 IPS |
|
|
Text Classification (SP)
|
100% |
2452
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2471
3.30 KIPS |
|
|
Text Classification (Q)
|
92% |
4837
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2359
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1752
30.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1750
30.1 IPS |