HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC
Geekbench AI Score
2840
Single Precision Score
1351
Half Precision Score
5710
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Ray5 |
| Upload Date | April 01 2025 08:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 PRO 360 w/ Radeon 880M |
| 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 7 PRO 360 w/ Radeon 880M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 5 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2213
411.5 IPS |
|
|
Image Classification (HP)
|
100% |
471
87.6 IPS |
|
|
Image Classification (Q)
|
99% |
6091
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
698
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2594
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5626
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
4496
5.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
21228
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
2287
181.4 IPS |
|
|
Object Detection (HP)
|
100% |
600
47.6 IPS |
|
|
Object Detection (Q)
|
86% |
5957
478.8 IPS |
|
|
Face Detection (SP)
|
100% |
4842
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
1344
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
9539
113.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6423
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2248
17.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
5861
46.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12428
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11301
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26777
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1925
71.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1681
62.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3380
125.2 IPS |
|
|
Text Classification (SP)
|
100% |
1240
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
639
853.2 IPS |
|
|
Text Classification (Q)
|
97% |
1422
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1992
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2564
51.5 IPS |
