HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC
Geekbench AI Score
4601
Single Precision Score
4417
Half Precision Score
12095
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 03:45 PM |
| Views | 4 |
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 Pro (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% |
2231
414.8 IPS |
|
|
Image Classification (HP)
|
100% |
2229
414.6 IPS |
|
|
Image Classification (Q)
|
100% |
7142
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3284
53.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2646
42.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8613
139.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6447
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
6912
8.07 IPS |
|
|
Pose Estimation (Q)
|
98% |
29763
34.8 IPS |
|
|
Object Detection (SP)
|
100% |
2756
218.6 IPS |
|
|
Object Detection (HP)
|
100% |
2515
199.5 IPS |
|
|
Object Detection (Q)
|
88% |
7130
571.6 IPS |
|
|
Face Detection (SP)
|
100% |
6395
76.0 IPS |
|
|
Face Detection (HP)
|
100% |
5804
69.0 IPS |
|
|
Face Detection (Q)
|
100% |
18656
221.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7395
57.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7334
56.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
21630
168.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20980
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20512
26.4 IPS |
|
|
Style Transfer (Q)
|
98% |
76065
98.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3971
146.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3985
147.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13519
500.7 IPS |
|
|
Text Classification (SP)
|
100% |
2499
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2455
3.28 KIPS |
|
|
Text Classification (Q)
|
92% |
3124
4.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3322
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3234
55.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3960
68.2 IPS |
