HP HP EliteBook 8 G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
3195
Single Precision Score
2204
Half Precision Score
8321
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tono82 |
| Upload Date | July 22 2025 06:14 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 268V |
| 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% |
1812
337.0 IPS |
|
|
Image Classification (HP)
|
100% |
1303
242.3 IPS |
|
|
Image Classification (Q)
|
100% |
5010
931.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2036
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1056
17.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4745
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3453
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2302
2.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
13347
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1857
147.3 IPS |
|
|
Object Detection (HP)
|
100% |
1348
107.0 IPS |
|
|
Object Detection (Q)
|
88% |
5573
446.7 IPS |
|
|
Face Detection (SP)
|
100% |
5799
68.9 IPS |
|
|
Face Detection (HP)
|
100% |
4353
51.7 IPS |
|
|
Face Detection (Q)
|
100% |
13861
164.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4805
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3351
25.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
14555
113.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10341
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6724
8.64 IPS |
|
|
Style Transfer (Q)
|
98% |
37151
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2152
79.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1508
55.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7859
291.0 IPS |
|
|
Text Classification (SP)
|
100% |
2190
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1454
1.94 KIPS |
|
|
Text Classification (Q)
|
92% |
4477
6.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3460
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2946
50.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3415
58.8 IPS |
