HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC
Geekbench AI Score
2358
Single Precision Score
2321
Half Precision Score
1863
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | tlmiller76 |
| Upload Date | June 17 2025 02:53 PM |
| Views | 3 |
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% |
1517
282.2 IPS |
|
|
Image Classification (HP)
|
100% |
1545
287.4 IPS |
|
|
Image Classification (Q)
|
99% |
1304
243.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2472
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1285
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3060
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3075
3.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
3915
4.59 IPS |
|
|
Object Detection (SP)
|
100% |
1725
136.8 IPS |
|
|
Object Detection (HP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (Q)
|
85% |
1422
114.5 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
3003
35.7 IPS |
|
|
Face Detection (Q)
|
97% |
2922
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2765
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2780
21.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2254
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3920
5.04 IPS |
|
|
Style Transfer (HP)
|
100% |
3900
5.01 IPS |
|
|
Style Transfer (Q)
|
98% |
7071
9.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1766
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1750
64.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1917
71.0 IPS |
|
|
Text Classification (SP)
|
100% |
1507
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1477
1.97 KIPS |
|
|
Text Classification (Q)
|
92% |
847
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3065
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2994
51.6 IPS |
|
|
Machine Translation (Q)
|
58% |
715
16.8 IPS |
