HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC
Geekbench AI Score
5241
Single Precision Score
5053
Half Precision Score
13529
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ridelisle |
| Upload Date | January 19 2026 04:42 PM |
| Views | 7 |
| Notes | Windows 11 power mode set to "High performance". |
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% |
2800
520.6 IPS |
|
|
Image Classification (HP)
|
100% |
2834
527.1 IPS |
|
|
Image Classification (Q)
|
100% |
8916
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3767
61.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3106
50.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10912
176.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8071
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
8142
9.50 IPS |
|
|
Pose Estimation (Q)
|
98% |
31108
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
2948
233.9 IPS |
|
|
Object Detection (HP)
|
100% |
2890
229.2 IPS |
|
|
Object Detection (Q)
|
88% |
8205
657.8 IPS |
|
|
Face Detection (SP)
|
100% |
8322
98.9 IPS |
|
|
Face Detection (HP)
|
100% |
8253
98.1 IPS |
|
|
Face Detection (Q)
|
100% |
21284
252.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8500
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7684
59.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
20682
161.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21594
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20716
26.6 IPS |
|
|
Style Transfer (Q)
|
98% |
77603
100.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4178
154.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4084
150.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14081
521.5 IPS |
|
|
Text Classification (SP)
|
100% |
2621
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2625
3.50 KIPS |
|
|
Text Classification (Q)
|
92% |
3597
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4784
82.4 IPS |
