HP HP EliteBook 8 G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
3261
Single Precision Score
28796
Half Precision Score
48854
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ridelisle |
| Upload Date | January 09 2026 07:16 PM |
| Views | 6 |
| Notes | Windows 11 power mode set to "Balanced". |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook 8 G1i 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D8A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 268V |
| 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% |
1970
366.4 IPS |
|
|
Image Classification (HP)
|
100% |
14585
2.71 KIPS |
|
|
Image Classification (Q)
|
100% |
21215
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2452
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19150
310.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32416
525.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3437
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
110671
129.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
252403
295.7 IPS |
|
|
Object Detection (SP)
|
100% |
1915
151.9 IPS |
|
|
Object Detection (HP)
|
100% |
18370
1.46 KIPS |
|
|
Object Detection (Q)
|
88% |
27887
2.24 KIPS |
|
|
Face Detection (SP)
|
100% |
5652
67.2 IPS |
|
|
Face Detection (HP)
|
100% |
42207
501.5 IPS |
|
|
Face Detection (Q)
|
100% |
98306
1.17 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4784
36.9 IPS |
|
|
Depth Estimation (HP)
|
92% |
77477
601.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
163903
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
10196
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245590
315.7 IPS |
|
|
Style Transfer (Q)
|
98% |
426041
549.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2174
80.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39882
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76509
2.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2115
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (Q)
|
92% |
3418
4.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3377
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7353
126.7 IPS |
|
|
Machine Translation (Q)
|
100% |
8914
153.6 IPS |
