NiPoGi Hyper H2 i5-14450HX Default string Default string
Geekbench AI Score
909
Single Precision Score
944
Half Precision Score
626
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Spektr48K |
| Upload Date | March 02 2026 06:59 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i5-14450HX |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
389
72.4 IPS |
|
|
Image Classification (HP)
|
100% |
390
72.5 IPS |
|
|
Image Classification (Q)
|
100% |
325
60.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
518
8.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
586
9.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
403
6.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
2589
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2822
3.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
1861
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
434
34.4 IPS |
|
|
Object Detection (HP)
|
98% |
363
28.9 IPS |
|
|
Object Detection (Q)
|
86% |
364
29.3 IPS |
|
|
Face Detection (SP)
|
100% |
858
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
912
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
653
7.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
1578
12.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
1770
13.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
1190
9.54 IPS |
|
|
Style Transfer (SP)
|
100% |
5238
6.73 IPS |
|
|
Style Transfer (HP)
|
100% |
7141
9.18 IPS |
|
|
Style Transfer (Q)
|
98% |
4037
5.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
944
34.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1297
47.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
510
18.9 IPS |
|
|
Text Classification (SP)
|
100% |
495
661.1 IPS |
|
|
Text Classification (HP)
|
100% |
320
427.0 IPS |
|
|
Text Classification (Q)
|
97% |
248
332.1 IPS |
|
|
Machine Translation (SP)
|
100% |
518
8.92 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.68 IPS |
|
|
Machine Translation (Q)
|
70% |
263
4.94 IPS |
