| User | Nerdbench |
| Upload Date | January 11 2026 07:09 PM |
| Views | 6 |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3882
721.8 IPS |
|
|
Image Classification (HP)
|
100% |
485
90.2 IPS |
|
|
Image Classification (Q)
|
99% |
6245
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1887
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
990
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11195
182.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9944
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
4226
4.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
28400
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
3701
293.6 IPS |
|
|
Object Detection (HP)
|
100% |
669
53.0 IPS |
|
|
Object Detection (Q)
|
86% |
6735
541.3 IPS |
|
|
Face Detection (SP)
|
100% |
11284
134.1 IPS |
|
|
Face Detection (HP)
|
100% |
1522
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
10294
122.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10569
81.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1912
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
15986
127.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21273
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10349
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26033
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3115
115.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1869
69.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5379
199.2 IPS |
|
|
Text Classification (SP)
|
100% |
1430
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
624
832.3 IPS |
|
|
Text Classification (Q)
|
97% |
1343
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1942
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
905
15.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3154
63.4 IPS |