HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
7596
Single Precision Score
14618
Half Precision Score
5018
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 10:48 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D84 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
4319
803.2 IPS |
|
|
Image Classification (HP)
|
100% |
4596
854.7 IPS |
|
|
Image Classification (Q)
|
100% |
2490
463.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7208
116.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13951
226.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4985
81.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
21323
24.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
101205
118.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17779
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
4707
373.4 IPS |
|
|
Object Detection (HP)
|
100% |
9419
747.1 IPS |
|
|
Object Detection (Q)
|
88% |
4334
347.6 IPS |
|
|
Face Detection (SP)
|
100% |
9371
111.3 IPS |
|
|
Face Detection (HP)
|
100% |
19345
229.9 IPS |
|
|
Face Detection (Q)
|
97% |
6737
80.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20396
157.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
40106
309.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
13238
105.8 IPS |
|
|
Style Transfer (SP)
|
100% |
51942
66.8 IPS |
|
|
Style Transfer (HP)
|
100% |
177346
228.0 IPS |
|
|
Style Transfer (Q)
|
98% |
35776
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8385
309.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17901
661.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4835
179.1 IPS |
|
|
Text Classification (SP)
|
100% |
848
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1138
1.52 KIPS |
|
|
Text Classification (Q)
|
97% |
576
771.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2900
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2601
44.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1192
22.4 IPS |
