HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC
Geekbench ML Score
3414
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 18 2025 04:54 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1226
229.4 IPS |
|
|
Image Classification (F16)
|
100% |
1255
234.9 IPS |
|
|
Image Classification (I8)
|
99% |
3480
651.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
806
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
828
13.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2661
44.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6490
7.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
7161
8.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
27581
33.4 IPS |
|
|
Object Detection (F32)
|
100% |
1464
109.3 IPS |
|
|
Object Detection (F16)
|
100% |
1441
107.6 IPS |
|
|
Object Detection (I8)
|
62% |
1729
129.1 IPS |
|
|
Face Detection (F32)
|
100% |
3222
38.3 IPS |
|
|
Face Detection (F16)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (I8)
|
89% |
5420
64.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6192
48.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6188
48.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
14842
115.1 IPS |
|
|
Style Transfer (F32)
|
100% |
16012
21.1 IPS |
|
|
Style Transfer (F16)
|
100% |
15862
20.9 IPS |
|
|
Style Transfer (I8)
|
98% |
29507
38.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2745
98.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2662
95.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4207
150.3 IPS |
|
|
Text Classification (F32)
|
100% |
1377
1.98 KIPS |
|
|
Text Classification (F16)
|
100% |
1365
1.96 KIPS |
|
|
Text Classification (I8)
|
98% |
1169
1.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
2051
37.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2236
41.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3048
56.1 IPS |
