HP HP EliteBook 8 G1a 14 inch Notebook Next Gen AI PC
Geekbench AI Score
2412
Single Precision Score
2528
Half Precision Score
6708
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ridelisle |
| Upload Date | January 08 2026 07:18 PM |
| Views | 8 |
| Notes | Windows 11 power mode set to "Balanced". |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook 8 G1a 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8E17 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| 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% |
1004
186.7 IPS |
|
|
Image Classification (HP)
|
100% |
1146
213.2 IPS |
|
|
Image Classification (Q)
|
100% |
2371
440.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1241
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3924
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3458
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
3646
4.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
17068
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
100% |
1342
106.5 IPS |
|
|
Object Detection (Q)
|
88% |
3126
250.6 IPS |
|
|
Face Detection (SP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3093
36.7 IPS |
|
|
Face Detection (Q)
|
100% |
10149
120.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5082
39.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4630
35.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
16473
128.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9434
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10256
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22286
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1170
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1961
72.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7193
266.4 IPS |
|
|
Text Classification (SP)
|
100% |
1891
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1621
2.16 KIPS |
|
|
Text Classification (Q)
|
92% |
3323
4.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1925
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2676
46.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4178
72.0 IPS |
