HP HP EliteBook 8 G1i 16 inch Notebook AI PC
Geekbench AI Score
5094
Single Precision Score
9100
Half Precision Score
14433
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Chineezze |
| Upload Date | October 06 2025 11:30 AM |
| Views | 7 |
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 16 inch Notebook AI PC |
| Motherboard | HP 8D89 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3584
666.6 IPS |
|
|
Image Classification (HP)
|
100% |
6725
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
9977
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4208
68.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2699
43.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3509
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7155
8.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
33905
39.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
70880
83.0 IPS |
|
|
Object Detection (SP)
|
100% |
2898
229.9 IPS |
|
|
Object Detection (HP)
|
100% |
5503
436.5 IPS |
|
|
Object Detection (Q)
|
88% |
9587
768.6 IPS |
|
|
Face Detection (SP)
|
100% |
8393
99.7 IPS |
|
|
Face Detection (HP)
|
100% |
14791
175.8 IPS |
|
|
Face Detection (Q)
|
100% |
29579
351.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7643
58.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13633
105.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
26140
203.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20531
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41862
53.8 IPS |
|
|
Style Transfer (Q)
|
98% |
79662
102.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3929
145.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15909
587.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30787
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3469
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
2128
2.84 KIPS |
|
|
Text Classification (Q)
|
92% |
2107
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2096
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4027
69.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4129
71.1 IPS |
