HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC
Geekbench AI Score
2345
Single Precision Score
2348
Half Precision Score
1888
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | tlmiller76 |
| Upload Date | August 08 2025 09:18 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX PRO 375 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | EndeavourOS |
| 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 | 5.16 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1510
280.8 IPS |
|
|
Image Classification (HP)
|
100% |
1567
291.4 IPS |
|
|
Image Classification (Q)
|
99% |
1330
248.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2511
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2505
40.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1287
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3072
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3079
3.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
3926
4.60 IPS |
|
|
Object Detection (SP)
|
100% |
1631
129.4 IPS |
|
|
Object Detection (HP)
|
100% |
1634
129.6 IPS |
|
|
Object Detection (Q)
|
85% |
1414
113.8 IPS |
|
|
Face Detection (SP)
|
100% |
3115
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
3119
37.1 IPS |
|
|
Face Detection (Q)
|
97% |
2873
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2747
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2794
21.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2380
22.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3972
5.11 IPS |
|
|
Style Transfer (HP)
|
100% |
3987
5.13 IPS |
|
|
Style Transfer (Q)
|
98% |
7229
9.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1723
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1751
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2019
74.8 IPS |
|
|
Text Classification (SP)
|
100% |
1547
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1453
1.94 KIPS |
|
|
Text Classification (Q)
|
92% |
861
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2927
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2926
50.4 IPS |
|
|
Machine Translation (Q)
|
58% |
708
16.6 IPS |
