HP HP EliteBook 6 G1a 16 inch Notebook AI PC
Geekbench AI Score
4321
Single Precision Score
4141
Half Precision Score
12262
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | FrankDhont |
| Upload Date | August 14 2025 01:59 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 250 w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 6 G1a 16 inch Notebook AI PC |
| Motherboard | HP 8DFB |
| Power Plan | Hoge prestaties |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 250 w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3235
601.6 IPS |
|
|
Image Classification (HP)
|
100% |
2957
549.9 IPS |
|
|
Image Classification (Q)
|
100% |
9565
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3573
57.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2742
44.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8247
133.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4590
5.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
3906
4.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
16302
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1980
157.0 IPS |
|
|
Object Detection (HP)
|
100% |
2086
165.4 IPS |
|
|
Object Detection (Q)
|
88% |
7021
562.8 IPS |
|
|
Face Detection (SP)
|
100% |
4916
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
4308
51.2 IPS |
|
|
Face Detection (Q)
|
100% |
15741
187.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4745
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5283
40.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
15301
119.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14990
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15652
20.1 IPS |
|
|
Style Transfer (Q)
|
98% |
67687
87.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3864
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3911
144.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13343
494.1 IPS |
|
|
Text Classification (SP)
|
100% |
3356
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (Q)
|
92% |
5450
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4774
82.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4762
82.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7185
123.8 IPS |
