HP HP EliteBook 8 G1i 14 inch Notebook AI PC
Geekbench AI Score
1376
Single Precision Score
1320
Half Precision Score
3271
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | AdamOp |
| Upload Date | September 23 2025 07:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 8 G1i 14 inch Notebook AI PC |
| Motherboard | HP 8D89 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
644
119.8 IPS |
|
|
Image Classification (HP)
|
100% |
648
120.5 IPS |
|
|
Image Classification (Q)
|
100% |
2303
428.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
997
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
981
15.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2082
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1912
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1921
2.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
7240
8.48 IPS |
|
|
Object Detection (SP)
|
100% |
713
56.5 IPS |
|
|
Object Detection (HP)
|
100% |
664
52.6 IPS |
|
|
Object Detection (Q)
|
88% |
1603
128.5 IPS |
|
|
Face Detection (SP)
|
100% |
2109
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
2152
25.6 IPS |
|
|
Face Detection (Q)
|
100% |
4096
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2085
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2101
16.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
5233
40.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5452
7.01 IPS |
|
|
Style Transfer (HP)
|
100% |
5530
7.11 IPS |
|
|
Style Transfer (Q)
|
98% |
19401
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1027
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
989
36.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3701
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
1096
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1055
1.41 KIPS |
|
|
Text Classification (Q)
|
92% |
2036
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (Q)
|
100% |
805
13.9 IPS |
