HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC
Geekbench AI Score
9052
Single Precision Score
14210
Half Precision Score
6903
Quantized Score
Geekbench AI 1.6.0 Pro for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | January 08 2026 08:17 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| 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 |
| Power Plan | High performance |
| 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% |
3498
650.5 IPS |
|
|
Image Classification (HP)
|
100% |
5042
937.6 IPS |
|
|
Image Classification (Q)
|
100% |
3046
566.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4071
66.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6274
101.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4068
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
49571
57.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
107115
125.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
36679
43.0 IPS |
|
|
Object Detection (SP)
|
100% |
2864
227.2 IPS |
|
|
Object Detection (HP)
|
100% |
4534
359.7 IPS |
|
|
Object Detection (Q)
|
87% |
2570
206.4 IPS |
|
|
Face Detection (SP)
|
100% |
7350
87.3 IPS |
|
|
Face Detection (HP)
|
100% |
13362
158.8 IPS |
|
|
Face Detection (Q)
|
97% |
5974
71.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22662
174.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35935
276.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
16830
135.0 IPS |
|
|
Style Transfer (SP)
|
100% |
86836
111.6 IPS |
|
|
Style Transfer (HP)
|
100% |
161552
207.7 IPS |
|
|
Style Transfer (Q)
|
98% |
59532
76.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15513
572.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27133
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10293
381.2 IPS |
|
|
Text Classification (SP)
|
100% |
2188
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2469
3.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1702
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3725
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4207
72.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2006
37.6 IPS |
