HP HP EliteBook 8 G1i 16 inch Notebook Next Gen AI PC
Geekbench AI Score
2506
Single Precision Score
1297
Half Precision Score
4985
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 01:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Entreprise (64-bit) |
| Model | HP HP EliteBook 8 G1i 16 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D8A |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
1717
319.4 IPS |
|
|
Image Classification (HP)
|
100% |
532
99.0 IPS |
|
|
Image Classification (Q)
|
99% |
4044
754.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
872
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2443
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3128
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2709
3.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
11984
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1728
137.0 IPS |
|
|
Object Detection (HP)
|
100% |
654
51.8 IPS |
|
|
Object Detection (Q)
|
86% |
4260
342.3 IPS |
|
|
Face Detection (SP)
|
100% |
4995
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
1658
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
6932
82.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4305
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1923
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
9873
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8036
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6419
8.25 IPS |
|
|
Style Transfer (Q)
|
98% |
17173
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1717
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1442
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3595
133.1 IPS |
|
|
Text Classification (SP)
|
100% |
1329
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
695
928.0 IPS |
|
|
Text Classification (Q)
|
97% |
1570
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2051
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2835
57.0 IPS |
