HP HP EliteBook 8 G1a 14 inch Notebook Next Gen AI PC
Geekbench AI Score
2879
Single Precision Score
1418
Half Precision Score
6039
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 10 2026 05:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 8 G1a 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8E17 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2818
524.0 IPS |
|
|
Image Classification (HP)
|
100% |
679
126.2 IPS |
|
|
Image Classification (Q)
|
99% |
7643
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
683
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4760
77.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3111
3.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2788
3.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
10671
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1703
135.0 IPS |
|
|
Object Detection (HP)
|
100% |
502
39.9 IPS |
|
|
Object Detection (Q)
|
86% |
4048
325.3 IPS |
|
|
Face Detection (SP)
|
100% |
3500
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
1147
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
6342
75.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4403
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1554
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9437
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9464
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11051
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20629
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2491
92.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2235
82.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4804
177.9 IPS |
|
|
Text Classification (SP)
|
100% |
2240
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1104
1.47 KIPS |
|
|
Text Classification (Q)
|
97% |
2019
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2432
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1048
18.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3431
68.9 IPS |
