HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC
Geekbench ML Score
3485
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 18 2025 04:52 PM |
| Views | 6 |
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% |
1245
233.0 IPS |
|
|
Image Classification (F16)
|
100% |
1255
234.8 IPS |
|
|
Image Classification (I8)
|
99% |
3447
645.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
992
16.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
956
16.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2802
46.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
7667
9.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
7143
8.65 IPS |
|
|
Pose Estimation (I8)
|
100% |
27966
33.9 IPS |
|
|
Object Detection (F32)
|
100% |
1415
105.7 IPS |
|
|
Object Detection (F16)
|
100% |
1415
105.7 IPS |
|
|
Object Detection (I8)
|
62% |
1735
129.5 IPS |
|
|
Face Detection (F32)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (F16)
|
100% |
3275
38.9 IPS |
|
|
Face Detection (I8)
|
89% |
5491
65.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5996
46.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6200
48.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
14682
113.9 IPS |
|
|
Style Transfer (F32)
|
100% |
14685
19.3 IPS |
|
|
Style Transfer (F16)
|
100% |
16178
21.3 IPS |
|
|
Style Transfer (I8)
|
98% |
28700
37.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2731
97.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2760
98.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4249
151.7 IPS |
|
|
Text Classification (F32)
|
100% |
1371
1.97 KIPS |
|
|
Text Classification (F16)
|
100% |
1365
1.96 KIPS |
|
|
Text Classification (I8)
|
98% |
1168
1.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
2208
40.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2276
41.9 IPS |
|
|
Machine Translation (I8)
|
67% |
3166
58.3 IPS |
