HP HP OmniBook Ultra Flip Laptop 14-fh0xxx
Geekbench AI Score
10308
Single Precision Score
24107
Half Precision Score
27702
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 04:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP HP OmniBook Ultra Flip Laptop 14-fh0xxx |
| Motherboard | HP 8CDE |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7120
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
12120
2.25 KIPS |
|
|
Image Classification (Q)
|
100% |
14431
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8969
145.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19903
322.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
22395
363.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22914
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
133573
155.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
250171
292.9 IPS |
|
|
Object Detection (SP)
|
100% |
6363
504.7 IPS |
|
|
Object Detection (HP)
|
100% |
12427
985.7 IPS |
|
|
Object Detection (Q)
|
88% |
12527
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
14060
167.1 IPS |
|
|
Face Detection (HP)
|
100% |
30754
365.4 IPS |
|
|
Face Detection (Q)
|
100% |
38486
457.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
24506
188.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
53714
413.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
60137
467.7 IPS |
|
|
Style Transfer (SP)
|
100% |
53819
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
156069
200.6 IPS |
|
|
Style Transfer (Q)
|
98% |
175123
225.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9741
359.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26180
966.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27952
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2823
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4884
6.52 KIPS |
|
|
Text Classification (Q)
|
92% |
4604
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2855
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5023
86.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5039
86.8 IPS |
