HP HP EliteBook 8 G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
3087
Single Precision Score
22280
Half Precision Score
32393
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tono82 |
| Upload Date | July 22 2025 06:32 PM |
| Views | 9 |
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 8 G1i 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D8A |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
1880
349.7 IPS |
|
|
Image Classification (HP)
|
100% |
11498
2.14 KIPS |
|
|
Image Classification (Q)
|
100% |
12840
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2060
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16404
265.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
32592
528.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3381
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
104006
121.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
205476
240.7 IPS |
|
|
Object Detection (SP)
|
100% |
1857
147.3 IPS |
|
|
Object Detection (HP)
|
100% |
15918
1.26 KIPS |
|
|
Object Detection (Q)
|
87% |
20549
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
5371
63.8 IPS |
|
|
Face Detection (HP)
|
100% |
30497
362.4 IPS |
|
|
Face Detection (Q)
|
100% |
61206
727.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4256
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
62336
480.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
100677
783.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9707
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
205153
263.7 IPS |
|
|
Style Transfer (Q)
|
98% |
300027
386.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2087
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30127
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49171
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2126
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2023
2.70 KIPS |
|
|
Text Classification (Q)
|
92% |
2233
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3292
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4061
69.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3547
61.1 IPS |
