HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
3172
Single Precision Score
21084
Half Precision Score
31273
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | AdamOp |
| Upload Date | August 13 2025 05:59 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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(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% |
1929
358.7 IPS |
|
|
Image Classification (HP)
|
100% |
9298
1.73 KIPS |
|
|
Image Classification (Q)
|
100% |
16133
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2185
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15622
253.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30657
497.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3308
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
101339
118.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
193181
226.3 IPS |
|
|
Object Detection (SP)
|
100% |
1832
145.3 IPS |
|
|
Object Detection (HP)
|
100% |
13096
1.04 KIPS |
|
|
Object Detection (Q)
|
87% |
18082
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
5593
66.5 IPS |
|
|
Face Detection (HP)
|
100% |
30436
361.6 IPS |
|
|
Face Detection (Q)
|
100% |
63242
751.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4692
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
61349
472.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
94977
739.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9885
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
201507
259.0 IPS |
|
|
Style Transfer (Q)
|
98% |
283544
365.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2127
78.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28717
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54046
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2206
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
2569
3.43 KIPS |
|
|
Text Classification (Q)
|
92% |
1726
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3327
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3245
55.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3260
56.1 IPS |
