HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC
Geekbench AI Score
2226
Single Precision Score
1234
Half Precision Score
3542
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 06:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX PRO 375 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D08 |
| 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% |
1546
287.5 IPS |
|
|
Image Classification (HP)
|
100% |
455
84.5 IPS |
|
|
Image Classification (Q)
|
99% |
4378
816.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
464
7.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
529
8.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
1251
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7607
8.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
5819
6.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
14707
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1899
150.6 IPS |
|
|
Object Detection (HP)
|
100% |
565
44.8 IPS |
|
|
Object Detection (Q)
|
86% |
4048
325.3 IPS |
|
|
Face Detection (SP)
|
100% |
3269
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
1277
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
7246
86.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4587
35.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2170
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
5155
41.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15615
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13543
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21316
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1294
47.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1434
53.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2498
92.5 IPS |
|
|
Text Classification (SP)
|
100% |
586
781.9 IPS |
|
|
Text Classification (HP)
|
100% |
321
429.1 IPS |
|
|
Text Classification (Q)
|
97% |
231
309.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1626
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2078
41.8 IPS |
