HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC
Geekbench AI Score
5051
Single Precision Score
5052
Half Precision Score
13303
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ridelisle |
| Upload Date | January 19 2026 04:33 PM |
| Views | 4 |
| Notes | Windows 11 power mode set to "Balanced" |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX PRO 375 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D08 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX PRO 375 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2830
526.2 IPS |
|
|
Image Classification (HP)
|
100% |
2858
531.4 IPS |
|
|
Image Classification (Q)
|
100% |
8322
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3617
58.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3633
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10643
172.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7846
9.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
7753
9.05 IPS |
|
|
Pose Estimation (Q)
|
98% |
31140
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
2790
221.3 IPS |
|
|
Object Detection (HP)
|
100% |
2784
220.8 IPS |
|
|
Object Detection (Q)
|
88% |
8758
702.0 IPS |
|
|
Face Detection (SP)
|
100% |
7988
94.9 IPS |
|
|
Face Detection (HP)
|
100% |
7773
92.4 IPS |
|
|
Face Detection (Q)
|
100% |
20947
248.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8059
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7958
61.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
20571
160.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20734
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20048
25.8 IPS |
|
|
Style Transfer (Q)
|
98% |
79903
103.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3946
145.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3985
147.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13012
481.9 IPS |
|
|
Text Classification (SP)
|
100% |
2496
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2627
3.51 KIPS |
|
|
Text Classification (Q)
|
92% |
3437
4.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3671
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4669
80.4 IPS |
