HP HP OmniBook X Flip Laptop 14-fm0xxx
Geekbench AI Score
7341
Single Precision Score
12895
Half Precision Score
5037
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 24 2025 07:38 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook X Flip Laptop 14-fm0xxx |
| Motherboard | HP 8D9F |
| Power Plan | Tasapainotettu |
| 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% |
4091
760.9 IPS |
|
|
Image Classification (HP)
|
100% |
4649
864.5 IPS |
|
|
Image Classification (Q)
|
100% |
2563
476.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6735
109.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12174
197.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5231
85.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20982
24.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
86161
100.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
17042
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
7330
581.4 IPS |
|
|
Object Detection (Q)
|
88% |
3463
277.7 IPS |
|
|
Face Detection (SP)
|
100% |
9449
112.3 IPS |
|
|
Face Detection (HP)
|
100% |
15509
184.3 IPS |
|
|
Face Detection (Q)
|
97% |
6741
80.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19016
146.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
37236
286.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
13161
105.2 IPS |
|
|
Style Transfer (SP)
|
100% |
51417
66.1 IPS |
|
|
Style Transfer (HP)
|
100% |
162146
208.4 IPS |
|
|
Style Transfer (Q)
|
98% |
34690
44.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8663
319.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15341
566.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5412
200.4 IPS |
|
|
Text Classification (SP)
|
100% |
817
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1086
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
618
828.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2730
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2280
39.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1292
24.2 IPS |
