NiPoGi Hyper H2 i5-14450HX Default string Default string
Geekbench AI Score
2995
Single Precision Score
1341
Half Precision Score
6039
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Spektr48K |
| Upload Date | March 02 2026 06:49 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-14450HX |
| 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% |
2208
410.6 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.8 IPS |
|
|
Image Classification (Q)
|
99% |
4505
840.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1427
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
872
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6727
109.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4507
5.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
3419
3.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
16180
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2140
169.8 IPS |
|
|
Object Detection (HP)
|
100% |
660
52.3 IPS |
|
|
Object Detection (Q)
|
86% |
4861
390.7 IPS |
|
|
Face Detection (SP)
|
100% |
5551
66.0 IPS |
|
|
Face Detection (HP)
|
100% |
1481
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
7555
90.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5949
45.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1842
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
11912
95.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11102
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8380
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19297
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2188
80.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1610
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4485
166.1 IPS |
|
|
Text Classification (SP)
|
100% |
1363
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
666
889.2 IPS |
|
|
Text Classification (Q)
|
97% |
1323
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1751
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2628
52.8 IPS |
