HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
3051
Single Precision Score
1345
Half Precision Score
5862
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 26 2026 01:26 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% |
2300
427.8 IPS |
|
|
Image Classification (HP)
|
100% |
507
94.3 IPS |
|
|
Image Classification (Q)
|
99% |
4336
808.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
856
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6725
109.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4457
5.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
3218
3.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
16350
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2276
180.5 IPS |
|
|
Object Detection (HP)
|
100% |
670
53.1 IPS |
|
|
Object Detection (Q)
|
86% |
4849
389.7 IPS |
|
|
Face Detection (SP)
|
100% |
6566
78.0 IPS |
|
|
Face Detection (HP)
|
100% |
1539
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
7624
90.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5910
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1947
15.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11771
93.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11179
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8325
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20144
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2112
78.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1591
58.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4233
156.7 IPS |
|
|
Text Classification (SP)
|
100% |
1296
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
604
806.7 IPS |
|
|
Text Classification (Q)
|
97% |
1194
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1886
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2269
45.6 IPS |
