NiPoGi Hyper H2 i5-14450HX Default string Default string
Geekbench AI Score
3743
Single Precision Score
3789
Half Precision Score
9141
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Spektr48K |
| Upload Date | March 02 2026 07:01 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
2274
422.9 IPS |
|
|
Image Classification (HP)
|
100% |
2309
429.4 IPS |
|
|
Image Classification (Q)
|
100% |
5557
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3010
48.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2998
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6059
98.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4330
5.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
4466
5.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
16161
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2290
181.6 IPS |
|
|
Object Detection (HP)
|
100% |
2268
179.9 IPS |
|
|
Object Detection (Q)
|
88% |
6060
485.8 IPS |
|
|
Face Detection (SP)
|
100% |
4408
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
4350
51.7 IPS |
|
|
Face Detection (Q)
|
100% |
13266
157.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5738
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5842
45.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
14918
116.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13036
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13197
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
45817
59.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2708
100.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2795
103.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9348
346.2 IPS |
|
|
Text Classification (SP)
|
100% |
2400
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (Q)
|
92% |
3962
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3720
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3777
65.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3682
63.4 IPS |
