HP HP EliteBook 8 G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
10697
Single Precision Score
25247
Half Precision Score
28453
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tono82 |
| Upload Date | July 22 2025 06:17 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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% |
6432
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
12620
2.35 KIPS |
|
|
Image Classification (Q)
|
100% |
14299
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9826
159.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
25988
421.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30594
496.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22905
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
132382
154.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
250186
292.9 IPS |
|
|
Object Detection (SP)
|
100% |
6312
500.7 IPS |
|
|
Object Detection (HP)
|
100% |
12851
1.02 KIPS |
|
|
Object Detection (Q)
|
88% |
14155
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
14361
170.6 IPS |
|
|
Face Detection (HP)
|
100% |
32926
391.2 IPS |
|
|
Face Detection (Q)
|
100% |
42574
505.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23586
181.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
52278
402.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
64402
500.8 IPS |
|
|
Style Transfer (SP)
|
100% |
52790
67.9 IPS |
|
|
Style Transfer (HP)
|
100% |
153228
197.0 IPS |
|
|
Style Transfer (Q)
|
98% |
160805
207.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9821
362.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24956
921.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27132
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3708
4.95 KIPS |
|
|
Text Classification (HP)
|
100% |
4258
5.68 KIPS |
|
|
Text Classification (Q)
|
92% |
2664
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3297
56.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6731
116.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7045
121.4 IPS |
