HP HP OmniBook Ultra Flip Laptop 14-fh0xxx
Geekbench AI Score
8965
Single Precision Score
22094
Half Precision Score
24908
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 07:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook Ultra Flip Laptop 14-fh0xxx |
| Motherboard | HP 8CDE |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 226V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5578
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
11292
2.10 KIPS |
|
|
Image Classification (Q)
|
100% |
13541
2.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7991
129.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18629
302.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20149
326.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19992
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
110238
128.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
199992
234.1 IPS |
|
|
Object Detection (SP)
|
100% |
5658
448.8 IPS |
|
|
Object Detection (HP)
|
100% |
11410
905.1 IPS |
|
|
Object Detection (Q)
|
88% |
11798
945.5 IPS |
|
|
Face Detection (SP)
|
100% |
13484
160.2 IPS |
|
|
Face Detection (HP)
|
100% |
29350
348.7 IPS |
|
|
Face Detection (Q)
|
100% |
34835
413.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19642
151.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
43109
332.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
51804
402.9 IPS |
|
|
Style Transfer (SP)
|
100% |
44317
57.0 IPS |
|
|
Style Transfer (HP)
|
100% |
138386
177.9 IPS |
|
|
Style Transfer (Q)
|
98% |
158327
204.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8660
319.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27713
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27652
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4453
5.94 KIPS |
|
|
Text Classification (Q)
|
92% |
3838
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2777
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4850
83.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4709
81.1 IPS |
