HP HP EliteBook 8 G1i 16 inch Notebook AI PC
Geekbench AI Score
4809
Single Precision Score
5103
Half Precision Score
12355
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Chineezze |
| Upload Date | October 06 2025 10:58 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265H |
| 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% |
2772
515.5 IPS |
|
|
Image Classification (HP)
|
100% |
2413
448.7 IPS |
|
|
Image Classification (Q)
|
100% |
7724
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3626
58.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2516
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8602
139.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6160
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
5055
5.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
22349
26.2 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.9 IPS |
|
|
Object Detection (HP)
|
100% |
3691
292.8 IPS |
|
|
Object Detection (Q)
|
88% |
9098
729.3 IPS |
|
|
Face Detection (SP)
|
100% |
7907
94.0 IPS |
|
|
Face Detection (HP)
|
100% |
10490
124.6 IPS |
|
|
Face Detection (Q)
|
100% |
18853
224.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7510
57.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8974
69.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
22979
178.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19817
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17966
23.1 IPS |
|
|
Style Transfer (Q)
|
98% |
70622
91.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3901
144.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4465
164.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13224
489.7 IPS |
|
|
Text Classification (SP)
|
100% |
3362
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2769
3.70 KIPS |
|
|
Text Classification (Q)
|
92% |
5106
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2804
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5060
87.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2971
51.2 IPS |
