HP HP EliteBook 8 G1a 14 inch Notebook Next Gen AI PC
Geekbench AI Score
4512
Single Precision Score
8060
Half Precision Score
3298
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 10 2026 05:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 860M Graphics |
| 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% |
1453
270.2 IPS |
|
|
Image Classification (HP)
|
100% |
3085
573.7 IPS |
|
|
Image Classification (Q)
|
100% |
1521
282.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2949
47.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1697
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
21755
25.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53925
62.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
15700
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
1406
111.5 IPS |
|
|
Object Detection (HP)
|
100% |
2264
179.6 IPS |
|
|
Object Detection (Q)
|
87% |
1310
105.2 IPS |
|
|
Face Detection (SP)
|
100% |
3319
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
5896
70.1 IPS |
|
|
Face Detection (Q)
|
97% |
2707
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9366
72.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16450
126.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
7040
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
41961
53.9 IPS |
|
|
Style Transfer (HP)
|
100% |
78958
101.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27015
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6509
240.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16219
598.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4135
153.1 IPS |
|
|
Text Classification (SP)
|
100% |
2196
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3285
4.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1508
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2031
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2556
44.0 IPS |
|
|
Machine Translation (Q)
|
70% |
895
16.8 IPS |
