HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC
Geekbench AI Score
2791
Single Precision Score
1298
Half Precision Score
5500
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | drodriguezwpb |
| Upload Date | May 22 2025 04:31 PM |
| Views | 7 |
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% |
2190
407.2 IPS |
|
|
Image Classification (HP)
|
100% |
465
86.5 IPS |
|
|
Image Classification (Q)
|
99% |
6035
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2926
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5328
6.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
4315
5.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
19858
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
2214
175.7 IPS |
|
|
Object Detection (HP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (Q)
|
86% |
5466
439.3 IPS |
|
|
Face Detection (SP)
|
100% |
4850
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
1291
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
9134
108.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6353
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2109
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
5648
45.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12345
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10418
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25918
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1844
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1641
60.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2812
104.1 IPS |
|
|
Text Classification (SP)
|
100% |
1296
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
596
795.8 IPS |
|
|
Text Classification (Q)
|
97% |
1377
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1799
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2555
51.3 IPS |
