HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC
Geekbench ML Score
7076
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 18 2025 04:59 PM |
| Views | 7 |
System Information
| 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 |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 5.33 MB x 3 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2760
516.5 IPS |
|
|
Image Classification (F16)
|
100% |
2823
528.2 IPS |
|
|
Image Classification (I8)
|
100% |
2595
485.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
4600
76.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
4499
75.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
3749
62.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
47264
57.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
50247
60.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
35227
42.7 IPS |
|
|
Object Detection (F32)
|
100% |
1989
148.5 IPS |
|
|
Object Detection (F16)
|
100% |
1817
135.6 IPS |
|
|
Object Detection (I8)
|
62% |
1655
123.6 IPS |
|
|
Face Detection (F32)
|
100% |
6226
74.0 IPS |
|
|
Face Detection (F16)
|
100% |
6214
73.9 IPS |
|
|
Face Detection (I8)
|
89% |
5041
59.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
17123
132.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
16885
130.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
13390
103.8 IPS |
|
|
Style Transfer (F32)
|
100% |
80817
106.3 IPS |
|
|
Style Transfer (F16)
|
100% |
85475
112.4 IPS |
|
|
Style Transfer (I8)
|
98% |
57096
75.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10370
370.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10712
382.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8587
306.7 IPS |
|
|
Text Classification (F32)
|
100% |
2568
3.69 KIPS |
|
|
Text Classification (F16)
|
100% |
2428
3.49 KIPS |
|
|
Text Classification (I8)
|
98% |
1787
2.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
2622
48.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2759
50.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1738
32.0 IPS |
