HP HP EliteBook 8 G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
3169
Single Precision Score
2166
Half Precision Score
8232
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tono82 |
| Upload Date | July 22 2025 07:20 PM |
| Views | 9 |
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% |
1791
333.1 IPS |
|
|
Image Classification (HP)
|
100% |
1276
237.3 IPS |
|
|
Image Classification (Q)
|
100% |
4943
919.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4657
75.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3426
4.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2288
2.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
13212
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1874
148.6 IPS |
|
|
Object Detection (HP)
|
100% |
1309
103.8 IPS |
|
|
Object Detection (Q)
|
88% |
5524
442.8 IPS |
|
|
Face Detection (SP)
|
100% |
5633
66.9 IPS |
|
|
Face Detection (HP)
|
100% |
4325
51.4 IPS |
|
|
Face Detection (Q)
|
100% |
13843
164.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4798
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3300
25.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
14517
112.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10235
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6666
8.57 IPS |
|
|
Style Transfer (Q)
|
98% |
37057
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2133
78.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1465
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7560
280.0 IPS |
|
|
Text Classification (SP)
|
100% |
2211
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1447
1.93 KIPS |
|
|
Text Classification (Q)
|
92% |
4445
5.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3394
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2850
49.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3402
58.6 IPS |
