HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
3015
Single Precision Score
1341
Half Precision Score
6030
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 26 2026 01:22 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 238V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D84 |
| Power Plan | UoA-Power Plan-Peak-15 min sleep |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 238V |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2250
418.4 IPS |
|
|
Image Classification (HP)
|
100% |
503
93.5 IPS |
|
|
Image Classification (Q)
|
99% |
4990
930.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1262
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
914
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6820
110.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4436
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
3250
3.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
16672
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2268
179.9 IPS |
|
|
Object Detection (HP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (Q)
|
86% |
5077
408.0 IPS |
|
|
Face Detection (SP)
|
100% |
6519
77.5 IPS |
|
|
Face Detection (HP)
|
100% |
1595
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
7673
91.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6149
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1857
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
13088
104.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11145
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8205
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20790
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2069
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1554
57.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4404
163.1 IPS |
|
|
Text Classification (SP)
|
100% |
1265
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
617
823.4 IPS |
|
|
Text Classification (Q)
|
97% |
1181
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1860
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2033
40.8 IPS |
