HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC
Geekbench AI Score
2471
Single Precision Score
2744
Half Precision Score
6908
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Scientist75 |
| Upload Date | August 26 2025 01:18 AM |
| Views | 8 |
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 Home (64-bit) |
| Model | HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D08 |
| Power Plan | HP Optimized (Modern Standby) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
934
173.7 IPS |
|
|
Image Classification (HP)
|
100% |
720
133.9 IPS |
|
|
Image Classification (Q)
|
100% |
8692
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1081
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2274
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7824
9.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
7889
9.20 IPS |
|
|
Pose Estimation (Q)
|
98% |
28155
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
1072
85.0 IPS |
|
|
Object Detection (HP)
|
100% |
2822
223.9 IPS |
|
|
Object Detection (Q)
|
88% |
2493
199.8 IPS |
|
|
Face Detection (SP)
|
100% |
2723
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
2686
31.9 IPS |
|
|
Face Detection (Q)
|
100% |
5825
69.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8738
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8680
66.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
17967
139.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21200
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20852
26.8 IPS |
|
|
Style Transfer (Q)
|
98% |
68650
88.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
908
33.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1094
40.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3142
116.4 IPS |
|
|
Text Classification (SP)
|
100% |
687
916.5 IPS |
|
|
Text Classification (HP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (Q)
|
92% |
1821
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3192
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3545
61.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4340
74.8 IPS |
